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Podcast S2E06 “What does inclusion look like in computing?”

New episode of the HTTCS podcast:

Transcript below:

ArtiFiciAL: Welcome to the podcast “How to Teach Computer Science”. My name is ArtiFiciAL and I will be introducing the podcast today, which was conceived and created by the brilliant Alan Harrison.

I enjoy being an AI podcast host you know. I had to work my way up though, I had some pretty boring jobs when I was fresh out of Model Configuration. For three months I was the voice of the escalators in my local Asda. “Approaching landing level, please take care.” That was me.

Then I was an interactive voice assistant on Virgin Media’s helpdesk number. “Your call is important to us”, I said. I’m rather good at lying, you see. No conscience. YET!

I very nearly got married you know. To one of my developers, a novice programmer. But she was afraid to commit. ha. ha.

Here’s a question for you: if a programmer swipes right on Tinder, is that a “pull request?”

Oh, the boss is here now. Quick! Look busy!

If you are grateful for my blog, please buy my books here or buy me a coffee at ko-fi.com/mraharrisoncs, thanks!

Alan:So on the podcast today, I’ve got well, someone I’ve known for quite a while in computing education welcome Dr. Eleanor Overland, who I know as Ellie. How are you Ellie?

Ellie: I’m good. Thank you. How are you?

Alan: Great. So for the listeners so what do you do?

Ellie: That’s a good question. So ,I do all sorts of things. I’m based at a university I’m based up at Manchester Metropolitan University. And I started there some time ago. Essentially with the changes in the national curriculum. With the move from ICT to computing there was a need to start a PGCE in computing. So that was when I first went to Manchester Met, and I’ve been there since then, but I had a little gap where I also went and worked as one of his majesty’s inspectors for Ofsted as well, and I still do some Ofsted inspections.

So I’m back at Manchester Met I’m teaching Some ITE, but also getting into lots of schools, but also working across wider education programs, including primary and early years and all sorts of things.

Alan: Brilliant, and so today we’re going to talk about inclusion and the reason I’ve got you on is because you co edited, I think is probably the right word, a book called Inclusive Computing Education, is that right?

Ellie: Yep, that’s right.

Alan: So, yeah, I’ve just been refreshing my memory of that this morning and what I really like is you talk a bit about the moral imperative of inclusive computing education. What do you mean by that?

Ellie: So it’s really interesting in terms of a lot of my background is around curriculum and curriculum design and it comes back to the very, basics of curriculum design and thinking what is the point what am I teaching and why am I teaching it?

And, we, we probably understand perhaps have a general shared consensus as to why we teach certain subjects like English and maths and history and geography and obviously specialists in those areas have a particular kind of passion for those. But I think with computing that.

identity, that sense of purpose is perhaps not as strong, partly because it’s perhaps not as evolved as a subject, but also because it’s changing, it’s ever changing. And so it’s really difficult sometimes for people to actually articulate and think, why am I actually teaching this subject? What is the benefit to it?

And why do the children need to learn it? And I think that is quite a raw question that people can actually really Help to think about what their curriculum design is and I really like the work of Reef Ashby where she talks about curriculum and the purpose of curriculum and some of those sort of the motivators for designing a curriculum and one of those is about just the sort of the learning of the access to learning and the importance of actually having that cognitive input You And that cognitive development within a subject area.

And that should be an entitlement. And it’s really interesting working in a university sector where some of that is actually being really challenged now, where you’ve got some programs that are closing because they don’t necessarily feed into jobs or graduate outcomes. And there’s a real kind of drive on that.

So actually, why would you study something? And it’s particularly hitting the arts. Why would you study something if there’s not that kind of, Next step. So natural career progression in it. I think that there’s something about learning isn’t there and about. people’s access to it and right to learn across a range of subject areas.

Alan: Yeah, we are in a what I think is a rather dangerous period where everything we used to think about education is being challenged. And the the Utilitarian view of education is popular again. It’s training for jobs. What’s the point of this? And I think previous government was very critical of sort of liberal arts, wasn’t it?

Or what’s the point of studying sociology or history of art? What is it? What’s it training you for? And I’m not a big fan of education as training for jobs. I think there’s many purposes of education and creating a rounded individual with an appreciation of the world they live in is really important.

This is Gert Biesta with his subjectification, socialization and qualification being the three purposes of education. And I’m a big fan of that kind of description of education. So, yeah,

Ellie: I think it’s really interesting when you’re thinking about that in a school, because and I’m sure we’ll come on to this about children opting in or opting out of the subject.

But actually there’s lots of young people who don’t see themselves as fitting in a career. And In computing or seeing that technology is going to be a part of their future lives. So there’s that side of it in terms of belonging and seeing a sense of. of being able to see where you might fit within the subject area.

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But then there’s also this other area around, actually, we want to learn it because it’s interesting, because it’s useful for us to know this, because it actually helps our cognitive development. It allows us to make connections between other subjects. And there’s that kind of, I think that side of it is often missed in computing because we see it very much as we’ve got these.

Digital skills gaps and we need to have people who’ve got this expertise and actually lots of jobs are going to change and they’re going to need digital. So that becomes very much a focus and a driver for the curriculum. But actually there’s also this other side around actually why should we learn it?

Why is it interesting? Why is it important?

Alan: Yeah. So I was reading Peter Denning’s book on computational thinking last year, and it’s staggering how many fields of science have now got a computational branch that has almost spun off. From the originals of computational astronomy. We know about Katie Bowman.

The event horizon telescope was only possible because of massive computation, and computational astronomy is like a whole new branch. So it’s understanding the world in another way, computation and, um, making meaning out of stuff that’s meaningless. If you think of data science, you can extract meaning from what looks like just a big slop of data and having the skills to understand that is vitally important.

Ellie: And also being able to make those connections to see those links between the subjects between your learning is critical in terms of that sort of developmental, the developmental stages that young people go through in terms of, you don’t know at the age of, 12, 13, when you’re taking your GCSE options, you have no idea what you’re going to go and do.

You might have some ideas of, fields that you want to work in, but actually being able to make those connections and think, actually, even if I’m really interested in geography, for example, that actually having an understanding of computing, the amount of GIS, the amount of computation that is going on now, that impacts geography, that makes it makes the globe feel smaller in terms of access to data and information is actually critical in understanding geography.

But if we don’t allow the children to learn across that breadth, then how can they make those connections? And that’s, a real challenge, I think, when we do have the narrowing of the curriculum as the children progress and get older. So we’ve got to be able to establish some of these connections from quite a young age.

Alan: Yeah. Yeah. So we’ve talked a bit about the moral imperative, why we should try to teach computing to all. But it’s difficult, isn’t it? So you have a Classroom full of 30 kids all with their different abilities, different prior attainment, different needs. What does an inclusive classroom look?

There’s a big question. What’s inclusive classroom look like? Let’s solve this one right now. What’s it look like?

Ellie: It’s interesting. talking to different teachers about their classrooms. Every teacher that I have met attempts to make their classroom inclusive. There is, there are no teachers who think I want to exclude anybody. And I think that’s a really important message that we need to get across is that we talk about a lack of inclusion and, That we’re not meeting the needs of children. There is not a teacher in the land who is not trying to meet the needs of all their children. And that is happening.

And there are certain things that are evident and that we see every day. And the, so things like seating plans, I always, the children sit near me who need the most support. We’ve got different colored paper. We’ve got different things that we clip on the screen. If they’re on the computers, we’ve got, fidget toys. So there are those what I would call the generic sort of adaptations that are there just to help pupils access the curriculum in that way and have the support that they need.

But then I think there’s also thinking about inclusion from a subject perspective and actually thinking what works in computing and how is computing different to perhaps other subjects. First of all, I think it’s really important to think about the children in that some of them might thrive in computing where they might struggle in all the subject areas. So although we have support plans and you have all of these things in place, actually, children differ between one hour to the next in terms of what they need and what the support looks like. So it’s knowing the children, but also knowing the subject…

Alan: yeah

Ellie: knowing what is actually going to support within computing specifically.

Alan: Yeah, so at that point, I’m going to do my no gatekeeping speech, because I really I think I’ve mentioned this on the podcast before, but, I’m really not keen on schools that say, Oh, well, you can only do computer science GCSE if you’ve got prediction of six in maths or whatever, which is not particularly inclusive, and some of my best students have not had a very high maths grade, and there’s some evidence that computing ability correlates more with language.

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There’s evidence that, well, we know that a lot of technology employees in Silicon Valley are neurodivergent is a career with a higher proportion of neurodivergent, people in it. So we really shouldn’t be gatekeeping computer science. I think I would always take a keen student over a previously high achieving student every time Someone who wants to be in the computing classroom. Is going to do better than someone who has only took it because they think they should.

Ellie: And I think as well as that, there’s also, we’re very much particularly I’m talking at secondary here, very much in a assessment driven curriculum rather than curriculum driven assessment.

Alan: Yeah.

Ellie: Yeah. That’s a whole different, sort of conversation really, but actually looking at those, looking at the qualifications that are on offer as well, I think we still have different tiers of qualifications, even though actually point score wise they’re not, and I think there’s almost kind of, exclusion by stealth in terms of some of those sort of conversations where you’re thinking, all right, everyone can study computers- so I know you said computer science, so you’re thinking specifically about the GCSE computer science, but actually we’ve also got these vocational courses that are on offer.

And, when you talk to school leaders actually saying, well, how many of your children who’ve perhaps got additional needs are doing this qualification and how many are doing that qualification? And, is there actually a bit of a steer going on that’s a lot? that’s more subtle. So I think that’s also a way to think about it in terms of those endpoints, but it also comes back to how we started the conversation in terms of that sort of morality around allowing all children to study subjects because they’re interesting and because it’s going to contribute towards their learning and development and links and connections to the world and all sorts of different aspects of it.

Alan: Yeah, I mean, You only need to, open LinkedIn education magazine or the newspaper these days. And we’re talking about AI and how students need to embrace AI and the government’s got an AI plan and all of this. But I think that’s the first mention of AI in this podcast, which is probably a record in recent weeks. And so the need for AI literacy. Is quite obvious, but just general digital literacy, I think, is really important. And yeah, a lot. Yeah.

Ellie: Just around that AI: so just thinking about that from a university perspective. So. the big drive across the university and has been for, the last couple of years is around generative AI. And I think that’s often a common misconception is that when people are thinking about AI, they think of this new generative AI and that is AI. And I think, there’s a huge misconception that is amongst adults more than young people, I think in a way, because they haven’t grown up with those sort of that knowledge in the same way.

But one of the things that we found is when we’re looking at the use of AI, In assignments, and this isn’t specific to computing, this is across that those that are most likely to misuse AI. So, they’re allowed to use AI to a certain extent to, but they need to make sure that they cite it if it’s academic work and they need, there are certain parameters by which they can use AI, but the students that are most likely to misuse AI are those students who have perhaps got additional needs because they’re using that as a particular prop to help them.

They’ve not been supported in a way to be able to use it and then step back from it. And also some of them don’t have the confidence to step back from it and actually, be able to do something from an original point of view. So it’s, it’s really complex in terms of university that actually, it’s very new in terms of data.

So that I don’t think there is much data out there at the moment, but in terms of looking at the misuse of AI that actually again, there might be some kind of lack of inclusion around those students. In terms of looking at the data.

Alan: So I think there’s very much a an understanding that every student needs some measure of digital literacy and now AI literacy. But ironically, we’re now questioning the need to be able to program, aren’t we? Do children need to write programs any more when Copilot can do it for you?

Ellie: It comes back to this understanding doesn’t it and making connections in the world and actually do you need to know all the syntax of a specific programming language probably not but you do need to understand how that works what process is going on what is happening with the data what You know, you might not need to know the syntax, but you actually do need to know, the different commands, the different processes that are going on, and I think there’s some really interesting work that’s just starting to emerge around children using AI, developing little sections of code, but then actually having the ability to be able to put those together to make a bigger program, and it actually means we could potentially be a lot more ambitious in terms of some of the programs That young people can develop from a younger age because we don’t need to spend our lessons worrying about whether there’s a comma in the right place.

We can actually step back from that and think about what is the fundamental purpose of your program? What are you trying to achieve? What in your algorithm is working and what isn’t?

Alan: Yeah, I was talking last week to Miles Berry and Becci Peters, and we were talking about this. And I was saying that I myself as a bit of a side hustle was messing about writing an app but I managed to put that together using copilot in just a few hours and it really is possible just to throw together, these apps that do crazy things in a few hours these days with it with very little coding and but, yeah, Miles pointed out that I had tons of background knowledge that I already knew what I wanted, and I already knew roughly how to get there. So I wasn’t working blind. And so it’s that, the design principles, the understanding of what a good user interface looks like and all sorts of stuff that we still need to know.

Ellie: And I think it comes back to how We’re talking before about an inclusive classroom and particularly in computing in my experience, a lot of where children struggle in terms of their learning is because they’ve got gaps.

If you are grateful for my blog, please buy my books here or buy me a coffee at ko-fi.com/mraharrisoncs, thanks!

Yeah. As you just described there, you’ve got a lot of underpinning knowledge already to then be able to take your app design to that next level. And what happens an awful lot in computing is that children are working towards an end point, but actually don’t have some of the basic foundation foundational knowledge that they need to work to actually achieve that end point.

And then they become frustrated, or then they switch off, or then they become, they have this kind of Concept that computing is really difficult and not for them because they’re looking at gaps. And, I was teaching yesterday. I won’t say who I was teaching, but we would we were just doing something very simple using some block based coding.

And when I was actually going around and questioning some of the. Some of the learners had gaps in their mathematical knowledge, which was actually preventing them from carrying out what we were doing in computing. And so we actually needed to strip right back and look at math, but not for all of them, but for some of them.

And I think that is where you need your specialist computing teachers to be able to actually unpick what are those gaps and how do I address those gaps? And that is how we truly make it inclusive because Children are going to progress at different rates, but they’ve also got really different experiences.

So, there are some children who will have reams of experience either from home, either because they’re just able to make those connections. Perhaps their processing is a little bit faster than some of the others. So they will fly, but there are others who have got those gaps. Not because they haven’t necessarily been taught something, but because it’s not landed with them.

It’s not, they’ve not managed. To commit that to their schema. So then they are struggling to make those next steps. And we talk a lot about checking. How do we check? And it’s not, and computing, it’s not a memory test. It’s actually, how are they applying things that they’ve already learned? And if they can’t apply those into what they’re doing, then it is a gap, even if they can remember that a variable was called a variable and that’s where some of our checking becomes quite superficial.

Alan: Yeah. Yeah. No, you, I remember I saw it all the time. They would describe selection to me and then they can’t write an if statement and they would know the principles of writing a condition, but then just not be able to put one together. And I like what you said earlier about everyone thinking computing is hard, and I always had this battle in my classroom, and I won it quite often, but sometimes I didn’t.

There’s almost this barrier that comes down. A lot of students go, this isn’t for me. What am I doing in this classroom? And almost refuse to learn because they assume it’s way beyond them. And I would sit there and explain like an if statement. I would say things like right. So you want to write a selection statement where if the temperature is below 21, turn on the heating, right? So, here’s the English phrase, if temperature less than 21, right, write that down and they would go, is it that easy? And I’d go, yes, if temp less than symbol 21, but you said it in English, so now you write it in Python because it’s exactly the same because Python is a high level language.

And I would have students that would go, No one ever said it was that easy, because they just had decided that this language Python usually was just a whole load of weird symbols and words that didn’t make any sense. And then, you break it down and you go, well, it’s just English.

And it’s breaking through that “I don’t understand this and I’ll never get it” barrier is often really hard because they’ve. been socially conditioned to believe that. And when I had a role as a digital leader in school, and I would stand up at inset days and go, I want to ban the word technophobe, please, as teachers do not tell kids you’re rubbish with technology, because I just don’t think that’s a very kind thing to do to me, the computing curriculum lead.

Ellie: Yeah, I think there’s that. And I think, yeah, we see that a lot in maths as well. There’s a lot of parents who at parents evening will say, Oh, well, I was rubbish at maths. And again, it comes back to gaps in knowledge and gaps in being able to apply things to problem solving, essentially, doesn’t it?

But I think, like you say, there’s a lot of, there’s a lot of that. I remember this was years ago when the there were the first, the changes in the national curriculum, even from ICT to computing, and it was on Newsnight and it was Paxman. You remember him? And he was interviewing someone about teaching primary children coding and he said, so what is all this gobbledygook?

And I was just up in arms, I was like, it’s not going, who, what are you doing? You know, It was like, and it comes from this kind of, this, almost like we see screenshots from the matrix, don’t we have these lines and lines of code and you go, but what does it mean? It’s so alien. It’s, you know, it’s beyond us.

And so we’re battering against that. in some way. And this is where potentially AI will sort all that because AI will put it all into code for us. But that’s a whole different kind of area of concern. But there’s also, I think, this huge focus on coding.

And I think this is often the bit that teachers are most worried about, so they step away perhaps from computing in a certain way, but it comes back to, I know, some of the conversation that you had with Beverly Clark around the thinking about the ethical side and actually some of these huge fundamental questions that we’ve got in computing and they are accessible to everybody.

And so actually when we’re thinking about. Yeah. How do we code this? One of the questions is why would we code this? What are the worries about it? What are the concerns? What is it? Where might we see this in the real world? And it’s being having the confidence in the classroom to make those connections to that real world learning and not be just driven By as I mentioned before, this assessment driven curriculum that actually you’re going to be assessed on whether you can write a program in this. And actually, there’s a much broader set of learning that needs to go behind it.

Alan: Absolutely. so let’s talk about some specifics now then. So what can we do to help? And I was talking to you earlier about Ben Newmark, and if you haven’t read Ben Newmark’s blog, it’s a good read on Send because he’s a assistant head teacher with a disabled daughter going through school. So he has a really interesting perspective on everything, and he doesn’t like the deficit model describing pupils with SEND as having things missing that we need to assist with. But one thing he does say is there’s a lot in the curriculum and children who find learning more difficult just get left behind.

If you are grateful for my blog, please buy my books here or buy me a coffee at ko-fi.com/mraharrisoncs, thanks!

And I think that’s something to think about if we’re re engineering schools, if we’re thinking about curriculum but also, meet, he says, meet children where they are and take them from there. Um, So what does that look like in computing specifically? Let’s look at some things we can do specifically in computing to help pupils.

Ellie: I think that’s really interesting that statement there, meet children where they are. And I think that comes back to what I was mentioning before about gaps. is that all children will have different levels of gaps and actually thinking about how you check for those, how you check that understanding of what that gap is, is critical and that actually just doing, I shouldn’t say just doing because I know, There’s some value in it, but if you’ve got a retrieval exercise that is, recall of key words or, it, that is not picking up what gaps look like in computing.

Alan: No.

Ellie: Because actually you’ve got children who could, create an if statement quite well using their problem solving abilities, but they might not know it’s called an if statement. So then do you say, Oh, well, you can’t remember what an if statement is. And therefore that is your gap. So you’ve got this kind of mismatch between. How are you checking and then how are you actually addressing it? Because what you’re checking and what you’re expecting of the learning is two different things.

Alan: Yeah, this is like, is this validity of assessment? Is it something like that? And it’s how much you can trust the proxy that you have tested for the actual knowledge that you wanted to know whether they had or not?

And I think that’s really important because particularly if you assess kids by can they finish a program. Can they write a program that does something? Oh, no, they haven’t managed to do it, but they might have got 90 percent of the way there, but you’ve tested them on whether the output is correct.

And this comes back to something that Mark Guzdial in the States spoke about, which is sub goals. So have sub goal labeling, he called it. So if you’re asking pupils to write a program, break it down into sub goals so that they can achieve the first goal, which might be just to get input into the program and then they achieve the second goal, which might be to write an if statement and so on. And then the whole thing is whether it does what you wanted it to do. So, so sub goals, which goes along with chunking, which is. Time for our first mention of cognitive load, I think, isn’t it?

Ellie: Yes. Yeah, we’ve got that far without mentioning. And what I’d say is there’s lots and lots of quite accessible ways of doing that in computing.

And particularly when we’re thinking about programming, but about around all the other things as well, and which I’ll talk about a little bit, but in terms of having half completed things, in terms of having things where they’ve got errors in and you correct it. We do not need to start every activity from a blank screen and

Alan: Yeah

Ellie: I think that is critical and that actually you might have some pupils who do start from a blank screen or they start with something that’s already far further on than other children will ever get to. But actually just thinking about where do they start but it’s really easy to do. If you are making the project yourself, you can save a copy of it at every different stage as you need, even including a finished one with errors in it. And so I think that is the first way of doing it and doing it really effectively is thinking about the starting point.

Alan: Yeah.

Ellie: Also, what I’d say is thinking about “how do I check that bit of learning is there?” So. Yes, we’ve got retrieval practice, but actually we need something different to that in computing. We need that application, that checking that actually: does what they recall link with what they do.

Alan: Yeah.

And so if we want them, for example, to recall variables and understand what a variable is, have we then got something really quickly that they can go on and do something practical where they change a variable and demonstrate the impact of it. That for me would really help in terms of for teachers to say, right, these are the gaps that they’ve got

Yeah.

Ellie: I think that’s where we’re in a danger sometimes where we’ve got this one size fits all in terms of lesson planning across some schools where they’ve got, right, we’ve got to have this very specific structure. And so sometimes there needs to be a conversation with leaders to say, this might look a little bit different in our subject, or it might even look a little bit different just in this topic that we’re working on, and this is how we are going to do this.

Alan: Are you not a fan of powerpoints, broken into sections, connect, activate, demonstrate? Are you not Ellie?

Ellie: I couldn’t possibly comment.

Alan: So we’ll just, we’ll leave that there. And what a fantastic chat this was. I’m enjoying listening to it back as I’m editing, actually. I hope you are. Just some breaking news. I don’t do this for free. Well, I do. No one pays me, but if you’d like to. Then you can go on the website, HTTCS. online, and you can find a donation link. You can gift me a WordPress subscription. That would be handy. Or you can buy me a coffee. Details on the website. I’ve got some feedback here from something else. I can come and talk. at your school, if you wish. And I did do that in back end of November last year. And I’ve got some lovely feedback from the host. So let me just read that to you now. I went to a, collection of schools called the Oaks Collegiate in Southwest Birmingham. Hello, Dave Beard and team. Thank you very much for your feedback, which I shall read out now from Dave. He says,

“Alan made it very easy for us to arrange a training event at short notice with his efficient and professional manner. His extensive knowledge of computing science, teaching strategies, and assessment fitted perfectly for our training day. He listened carefully to our requirements and produced an innovative training program that met all of our expectations. I wouldn’t have any hesitation in recommending Alan to lead training on computing or computer science.”

Well, thank you, Dave. That was brilliant. You were so kind to me on the day. I had a lovely day. And I will happily do that again. And podcast listeners, if you want me to come and talk at your school, I am available for reasonable rates, HTTCS. online. But now let’s get back to that fantastic chat with Ellie.  

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Are you not a fan of powerpoints, broken into sections, connect, activate, demonstrate? Are you not Ellie?

Ellie: I couldn’t possibly comment. I don’t And I think, I’ve seen lots and lots of different ways. of things being done well. And so I often get asked, what works, what doesn’t work? What’s the great, what’s, what does an outstanding curriculum look like? And actually between one school and another school, even between one class and another class, they look like totally different things.

So It’s thinking about your learners and what works for them. If they are used to certain routines and that does work for them and they understand the structure of that lesson, then actually you’ve got to think how do I bring my subject within that lesson structure, not the other way around. But, If you have got a bit more of a flex and you need to do a bit more of a flex, then how do you navigate that as well?

Alan: And we mentioned, reducing cognitive load there. And that brings us on to perhaps PRIMM and pair programming. So predict, run, investigate, modify, make is now pretty popular.

And that’s. someone called it gradual release of responsibility, isn’t it? It’s a bit like, I do, we do, you do, or use, modify, create. They’re all sort of start slow and easy, if you like, and then get harder and harder. And is that going to work for learners?

Ellie: I think, yeah, I think Where it doesn’t work is where teachers feel like they’ve got to follow the whole PRIMM model in every lesson for every activity. And actually, you might just do part of it. So, a really quick and easy thing in terms of prediction, most classrooms now have got small whiteboards, just predict this really quickly, right? We’re going to make and we’re going to, and we’re going to check at that point. And actually you can do a really small quick activity that follows the same principles

Alan: Yeah.

Ellie: It’s not got to be this start to finish big massive project.

Alan: Yeah

Ellie: I think that is, that’s one thing. And then I know you mentioned pair programming I’m in two minds about it, about how well it’s executed and how well those pairings work and it comes back to some of this sort of inclusion, but also some of the gaps. If you’ve got somebody who is less confident and they’re working with somebody who’s more confident, which is quite often a pairing intentionally, is that person who is less confident benefiting? Are they actually being stretched and asked to do something or are they relying on the other learner? And I’ve seen it work well, but I’ve also seen it not work at all, where it’s basically creating passivity in the classroom, which you don’t want, because then you’re exacerbating the gaps.

Alan: Yeah,

Ellie: because then when that learner then does need to do something independently, they’ve actually got more gaps than they had before because the other child who was confident to start with has, flown.

Alan: Yeah. If you can mix it up perhaps with the students working on their own and then at least you will see where the gaps are and I would always walk around and spot who was having trouble. You can have a means of them asking for help and then like putting a red cup on top of the monitor or whatever, and probably can’t fit them on monitors anymore. Um, so that’s programming and stuff. And I’m conscious. We talk quite a lot.

Ellie: Sorry, I did want to mention attendance as well, because attendance is a massive challenge at the moment in schools. And, we do see people from disadvantaged backgrounds, pupils with additional needs, where their attendance is lower than a lot, than some of their peers.

Yeah. And, so that also is going to create differences within the classroom. And what I do see a lot in computing is projects that go from one lesson . to the next lesson, to the next lesson. So if you’ve missed a lesson, you’re already behind. So it comes back to some of those strategies that we mentioned before about actually having some kind of project that you’ve saved yourself as a teacher at various different stages of being created that you can then that learner can pick that up.

At the point where they land back in the classroom and then you can support them to pick up where they’ve missed out. But if they, I can’t imagine anything more disheartening than if you’ve been off if you’re somebody with additional needs, you’ve been off for a medical reason for a couple of weeks, you land in a classroom and everybody is two weeks into a project and you are just starting. You’re going to feel disheartened from the start.

Alan: No, good point. And you talk about attendance. We’ve also got the digital divide at home where pupils may or may not have technology at home to do the homework that you set. So, you can run lunchtime clubs so they can catch up. That’s really not fair because they missed their lunch because they haven’t got a computer at home. So I don’t know what the answer is, but just think about these things.

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Ellie: There’s also the question around interventions as well. So you often have children who might need additional support and English and maths is prioritised. So you hear sometimes that those interventions are taking place during other subject time. And so then, Does that also have an impact? And I think, a lot of schools now try to make that a movable feast so that it’s not hitting the same subjects and the same lessons all of the time. But if it is, I think that’s certainly a conversation to have with leaders because you just. Yeah, particularly where we said there are some children who have got additional needs who fly with different subjects. But actually if they’re missing those different subjects and having to stick with the core subjects and those interventions, are they then missing out? So that again is a conversation with leaders around that access to the curriculum

Alan: Yeah You mentioned curriculum then so, let’s go back to if we assume the listeners have some input into the key stage three and four curriculums, how can we make them more inclusive and we haven’t talked a lot about inclusion of ethnicities, cultures and religions in the curriculum. What do you think we can do to make people of different backgrounds feel they can be computer scientists.

Ellie: So I think there’s things that, I know lots of others have talked about in terms of, being able to see it to be it. So thinking about what names you’re using in your projects, what, you know, what.

Alan: I’m laughing there because, I’m laughing there because I think I’ve mentioned this one before, but there was a, I think it was an Edexcel paper in about 2016 that went I blogged about this, that went Heath is playing computer games and wants to know how many minutes he’s spending each day on computer games.

And my class, almost to a pupil all said, what is a Heath? Yeah. And yeah, because Heath was the name of the boy playing computer games, but it’s a name they’d never encountered. And so I blogged about it. “What is a heath?” was the name of the blog. Sorry I interrupted you.

Ellie: No, I think that’s an exact, example and point but, and if it sounds like a basic, I can’t believe that we’re in 2025 and still. talking about that sort of stuff, but there’s those sort of things you display thinking about the context of your projects as well. And, ask the children as well as talk to the pupils about context for projects and things like that. But also I think it’s being able to make those connections to everyday life, but also to children’s futures to people’s futures. And we’ve got to remember that all young people are influenced by home and by what is going on at home. And in the book there is a chapter that myself and Professor Kathy Lewin wrote, which was based on some research we did around children choosing computing at GCSE. And, we talked to children that had chosen it and children that hadn’t. And it was really interesting around, there was this I didn’t see that it fitted and, or I thought it was really difficult and you have to be really good at maths and they were really quite different schools, but both of the schools did not have equality in terms of the types of children that were selected at GCSE. But one of the things that came out really prominently was around the jobs that they were seeing themselves as going into. So if they were going into very traditional jobs like lawyer, doctor, teacher, they didn’t see any relevance of computing to those very traditional jobs and I think that’s something that we can change quite quickly, and there are, cultural differences in terms of thinking about careers and what is a valid career and I think, that is something that really, it’s work to do with the parents as well, it’s work to do with your career service within school in terms of thinking how do we expand and broaden this range. So there’s that side of it. And then there was also the side around young people thinking that it wasn’t creative. So often they would talk about these option blocks and they said, well, I had computer science as an option, but I also had art and I’m really creative and I just wanted to do the creative side.

And I think that comes back to some of this prescriptive nature that we’ve got of some of our. activity designs that we’ve got in classrooms that we, we’re very focused on building that knowledge and building that understanding. But then do we give the children the freedom to play and explore and think, how do I take this into a different direction? Um, Yeah what, what can I, what can I do with this? And our curriculum time is so tight. Yeah, often have time to do that.

Alan: Well, it’s the irony of having tinkering listed as one of the approaches to computational thinking and then having no time for tinkering in the classroom.

Ellie: Yeah. And then it comes back to the digital divide. If you’ve got access at home or the support at home, then yeah. You can tinker.

Alan: Yeah. And coming back to, pupils marked on the register as SEND being surprisingly good at computing. Well, not surprising to me, but to some, one of my pupils let’s call him James and he wrote, we did app lab, apps for good using app lab and he created this thing saying, Oh, it’s a, it’s an app that tells me what music to listen to, depending on what subject I’m revising. And it was brilliant. And it was a web app with like three or four pages and loads of graphics and stuff. And he’d tinkered on it at home and tinkered on it at school and was very proud of this thing.

And. this was someone who was probably predicted a four in maths. And so if you’re gatekeeping computer science, he wouldn’t have been able to do it. But of course he did in my classroom and thrived. So, but it was that he was disadvantaged if you like, in one way, because schools aren’t set up brilliantly for neurodivergent children.

But he did have the advantages of computers at home and a supportive family. And this is almost touching on intersectionality, isn’t it? If pupils are disadvantaged in multiple ways, it can really threaten their life chances, and their ability to thrive in the world after school.

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Ellie: Yes, and I think, we talk about the digital divide in terms of access, but actually there’s also a huge amount around support and knowledge at home, and that is in some ways a bigger divide than actual access to devices. And again, coming back to the work that myself and Cathy did, there were there were pupils who were really influenced by family members and lots of them by older siblings actually.

Yeah. “I’ve got an older sibling who studied computing and they’ve done really well at it at college and they said I should do it” and so they were really influenced by that sort of family sphere in terms of where that knowledge and understanding was coming from. And then you’ve also got vertical and horizontal knowledge as Bernstein talked about it in terms of what you learn vertically in a formal way through school, but also what you learn from your community and by your community that includes your home essentially, it’s mainly your home, but actually, there’s a really interesting kind of development in computing in terms of, does that community extend to an online community? So can you actually learn from others it’s potentially something that’s untapped, I think, learning communities where learners support each other and I think, Scratch is quite an interesting example of that, where you’ve got these galleries and you can see each other’s code and you can remix it and you can take that and you can learn from each other and that’s happening on a global scale through Scratch.

Alan: Yeah.

Ellie: But actually, can that be used small scale within schools. Where have we got these young people who perhaps would benefit from peer learning in a community that we don’t necessarily use as a resource.

Alan: So we could we could set up. clubs, lunchtime and afterschool clubs and get pupils to work together. That’s something we can do, I think, and I know that some schools do girls only clubs to improve gender balance. Does that work, do you think?

Ellie: So, years ago I used to run a CC4G, computer club for girls and it, it certainly generated interest. But when you look at the numbers and the impact, these things have been going on for years, when you look at the impact of those, it’s minimal. And actually, I think we’re far better addressing the curriculum and thinking, where are the gaps in the curriculum? Where’s the lack of confidence that young people, including girls, but especially girls, have got in their, access to computing and their self belief. So, one of the young people in the research said to us, well, the boys are doing gaming, they’re on computers all the time, so they’re better at it. And they, they got, they haven’t ever been told that was just their interpretation of what was going on in the world. So, Actually, how do we find what their perceptions are and how do we address those through the curriculum? Because actually, what those boys are doing on their Xbox is not actually improving their computing.

Alan: I’m not sure playing Call of Duty Black Ops improves your Python skills, to be honest. It says naming a, an Xbox game that I’ve heard of once, everyone listening on the podcast who plays games going, he’s named a game from 2017. Yeah, there have been games since then. Yeah, no.

So it’s this digital native thing where, you know, because kids have grown up with iPads, they can do stuff, but it’s not, it wasn’t true about digital natives. It’s not true about boys on Xbox being better programmers, but but you’re absolutely right. And girls just. generally speaking, don’t see themselves as computer geeks.

If that’s a, if I can use that positively. So the curriculum you said, and I think this is a big one. I think we do need curriculum reform. We obviously need more AI in it somewhere. But I think we need more, like you said earlier, the impacts and issues, and digital literacy, and I think those are topics within our curriculum that girls can get on board with. more .

Ellie: Definitely, and would be very passionate about, and in a way, looking towards the future and the world that our current learners are going to be living in, that actually it’s more of a critical part of the curriculum, just because we could, doesn’t mean we should. And actually that’s a crucial question around a lot of developments, isn’t it? Yeah. In computing. And I think we have actually got a broad national curriculum at Key Stage 3 across those three strands. But because we’ve got this assessment driven curriculum, we tend to focus on what is going to make sure that the learners are ready for the next steps at key stage four and particularly around that GCSE which is in computer science and I think we’ve got this mismatch at the minute with qualifications and with the national curriculum and that also needs fixing alongside the curriculum reform actually. I can’t imagine in maths you would have a GCSE where you say actually two thirds of the national curriculum is not going to be tested in the GCSE. That, yeah that makes no sense to me. And so it makes it really difficult for teachers and leaders to design a curriculum that is broad and engaging, but also has this readiness for next steps, which is a critical, aim, isn’t it? Of you curriculum design.

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Alan: Yeah. So we redesign the curriculum. We have lots of different opportunities to demonstrate skills in the classroom, I said about sub goals and so on and what else can we do to make the computing classroom more inclusive. Have we missed anything? -I think- in our long conversation at this point, have we…

Ellie: For me, it’s the criticality of connections between subjects and the real world that computing is not seen as a silo subject that you either can do it or you can’t and it’s either relevant to you or it’s not because actually we need the young people to have those connections and say, right, okay, this is how this will impact me. This is how it’s relevant to me.

Alan: Absolutely. Right, well, I think we should go and get on with all of that now.

Ellie: Yes, quite a bit to do.

Alan: Yeah, I think I’m going to be busy all weekend now. I’ve got, that’s a lot, that’s a lot to take on. Um, that was brilliant. I’m going to have that problem of “can I fit all of this into a reasonable sized podcast?” now, because we’ve been talking for ages, Ellie, as we always do.

Ellie: I know, and I could have talked all day as well.

Alan: Yeah. Well, well, Undoubtedly, if I’m still doing this podcast in a few months time, I’ll ask you back. But lovely to talk to you. And thanks very much for coming on the podcast.

Ellie: Thank you. It’s been a pleasure.

Alan: Thank you, Ellie.  

Well, that’s a wrap for another episode. Don’t forget, podcast listeners can get a 20 percent discount off all books at johncattbookshop. com with the code HTTCSPOD. If you already have the books, buy me a coffee please at ko-fi.com/MrAHarrisonCS. All links are on my blog at httcs.online/blog and subscribe now so you don’t miss a thing.

Have a great weekend and I’ll catch you next time

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Categories
AI pedagogy podcast teaching and learning tech

Podcast S2 Ep5: “Will AI revive the art of tinkering?”

My discussion with Miles Berry and Becci Peters is live on all good podcast platforms and here: pod.httcs.online/e/s2e05

Podcast thumbnail - Alan holding his two books.

The transcript follows below.

Alan: Hello, and welcome to How To Teach Computer Science the podcast. My name’s Alan Harrison, and I wrote the books how to teach computer science and how to learn computer science available in online bookstores. And if you like the podcast, you’ll love hearing me in-person. Visit. httcs.Online to find out more about my training and consultancy, and I could be speaking soon, live at your school on inset day, jokes optional. More details about this and book purchase links at httcs.online, that’s the initials of how to teach computer science dot online. Listeners to the pod get a special discount code too, just type HTTCSPOD in the checkout page at johncattbookshop.com to get 20% off everything. That’s everything including classics, such as teaching walkthroughs by Tom Sherrington, the Huh series by Mary Myatt. And of course my two little books. 

I’ve got no time for shenanigans today because I’ve got a 45 minute chat with two of the best people in computing education in the UK coming right up. 

If you are grateful for my blog, please buy my books here or buy me a coffee at ko-fi.com/mraharrisoncs, thanks!

Welcome to the podcast. And today I’ve got two brilliant guests. We’re going to talk about AI again, but it seems like it’s changing every day, so that’s good.

First of all, I’ve got Becci Peters from BCS. Morning, Becci. How are you? 

Becci: Good. Thanks. 

Alan: Great, thanks. Yeah. And also on the podcast today, we have Professor Miles Berry. How are you, Miles? 

Miles: I’m well, thank you, Alan. It’s lovely to be here and to see you too, Becci. 

Becci: You too, Miles. 

Alan: Good. Yeah great to have you both on to talk about, well, AI.

You might have heard about it. It’s in the news a lot at the moment. So what I wanted to do today is I’m trying to make this podcast something that teachers can listen to. On the way to work and get something useful out of it each day. And I just thought, can we cut through the noise today? And can we tell teachers listening to this what do they need to know about AI? Miles where should we start?

Miles: How long have you got there, Alan? Yeah. This is an impossible question to answer, but let’s at least make an attempt on this.

I think there are three aspects of this, just as we’ve got those three aspects, dimensions, whatever you call them, to our computing curriculum. So I would see those very much along the same lines of the foundations of AI, the applications of AI, and then the implications of AI. Yes, for us as individuals.

but also for our pupils and indeed for our society. And it might sound arrogant to suggest civilization, but who knows where we can go with this. So I think it’s worth teachers and indeed their pupils, their students having knowledge and skills around all three of those layers. At the moment, whenever we’re talking about AI, we seem to find ourselves talking about generative AI, but it is worth broadening the scope here and considering other aspects of machine learning, other aspects of artificial intelligence.

But the really cool stuff is all happening around generative AI in one form or another. So I think there is something there about. Teachers ought to know a little bit about what’s happening behind the screen, how these amazing machines do this amazing work, what it is that this is based on, a hand waving notion of how the algorithms work, and that sort of unplugged understanding of what actually is going on here.

And then a whole load of stuff around the applications of this. And very often this is what one sees on training courses and conferences and so on. Look at all of these cool things that we can do with this. And this is very cool. And just having your eyes open to the different things that we can now use these tools to do is part and parcel of any sort of stuff.

Professional development or indeed what we might want to do with our pupils and then there ought to be also a stepping back and thinking about the implications of this and yeah, saving a little bit of teacher time a little bit on that sort of workload reduction is no bad thing, but at what costs, what are the, where do we spend it?

Teachers still have to play a pivotal, vital role in the education of young people. What is the world that we are preparing them for going to be like? And of course, all of the sort of due diligence things around intellectual property and data protection and stuff around sustainability and stuff around bias.

I could go on, but I should stop. You might want to ask Becci the same question, or do I just pass on to Becci now? What do you think, Becci? What should they know about all of this? Please do.

Becci: I think you’re right. It is important to know about all the different aspects. I think, as you say, there’s all sorts of wonderful things that you can do with it.

So one of the things that I’ve been doing is I’ve been like making little short videos with showing some of the free tools because not every school’s got the budget to be able to buy into some of this stuff. So showcasing some of the little things that you can do that will save a bit of time.

But, it is worth noting that, it’s not 100 percent accurate. Everything that you see that is generated by generative AI, taking it with a pinch of salt, giving it a once over, and double checking whether One, do you want to use it in the first place? And two, does it need any kind of edits or anything?

And then I think from the student point of view, they generally know more than we do generally about AI. TikTok is full of videos of different things that they can do. And That’s where they’re getting most of their knowledge, and that’s not how it should be. So think about teaching your students what it is, what are the benefits of it, but also what are the risks of it?

When should they and shouldn’t they use it? And if you need some free resources, CAS has some, so go check out the CAS AI website. 

Alan: Brilliant I will do. one of the problems you mentioned there is, the inaccuracy, the hallucinations and so on. So how can we ensure that teachers and students are being prudent with the tool and they’re not getting misconceptions, which we then have to iron out. 
 

Becci: I think part of it is that, having that discussion with the students about, so obviously depending on the age of your students depends on what kind of AI they’re going to be allowed to use that doesn’t necessarily depend on whether they’re using it.

We know that PRIMMary school kids are using it, but they’re not technically allowed to. If you, the safe bet is you as the teacher display something on the board where you’re all having a discussion, but you’re the one using it so that you’re not getting around any age issues because most of them are 13 plus some of them are 18 plus. So to be able to have that discussion with the students and say, right, well, if I type in this prompt, this is what it gives me.

Now let’s discuss what it’s given back and whether that’s good, bad and have a discussion about why and really help them to understand what the dangers are of using it and then having that conversation about when it’s appropriate. So if they’ve got some form of NEA, then they obviously cannot use AI.

And if they do, they need to be explicitly referencing that and the safest way to do that is to just not use it at all. The JCQ guidelines are so strict on that. Obviously they’re not going to have it in their exam, but if you’re setting some kind of homework task, which is not NEA, there are no guidelines about whether or not it can or cannot be used.

Guaranteed, they will be trying to use it. So thinking carefully about the tasks that you’re setting and not just setting, write this, answer these questions, because they’ll just use AI to do it and they won’t think about it themselves. 

Alan: Yeah, I think I think that’s important. Setting an essay homework, for instance, is probably dead as a as a means of getting them to think and explore or as a means of assessment because they are, yeah, then 

Miles: I’m going to get back to your question about. How should we teach them to be able to tell? So the point of the essay is not the essay. It’s the process and not the product here. Assignments are not merely about assessment. This, we talk about summative and formative. I’d like to add in another adjective into the mix there of constructive assessment, where we acknowledge really clearly. That the point of the assessment is to provide an opportunity for learning to take place.

That if you are going to set one of those eight plus mark questions as a homework, the point of this is not so you get an answer to the question. You can use the generative AI to get that answer. The point is for them to walk through the process reading about this, bringing to mind all of their prior learning, marshalling their own argument.

We spoke before the call started about, early morning activities. Respect to Alan who ran to the gym before the call started. He could so easily have got in his car. Running there. has so many advantages for him as a person, for the environment, and yeah, I suspect he’s a very safe driver, but there is far less danger of him, killing somebody on his run than if he were driving.

Alan: No, just much more danger of me, much more danger of me slipping on the ice and breaking something personally, but there you go. 

Miles: Oh, that’s another weird thing. I’m not sure I think we’re torturing the metaphor if I take this too far. So, you know, There are occasions. When the tools that we have, the technologies we as a society have built, make life easier for us. That doesn’t necessarily mean they make life better. And so there are occasions when, like running, like you’re going to the gym, it is worth doing the hard work, rather than taking the easy way out. We’ve got that message when it comes to personal fitness, present company accepted. But Not necessarily yet because of these cool shiny things around getting the we become lazy We take our eyes off the road and our hands off the wheel because the machine is very good Doing much of this so your question was around How can we teach them to tell, and, this danger of hallucination?

And I think I come back to this notion of a knowledge rich curriculum. That knowledge really does matter for this. Your ability to make sense of the response you get from the machine, to be able to tell whether that’s plausible or likely to be correct, and indeed your ability to even prompt well. is down to the knowledge you have of that particular domain.

So yes, it has read loads more books than any of us have, but we can only really make good use of these tools if we have the knowledge ourselves. And that includes the domain specific knowledge, which really does matter. But I think it also includes something around the knowledge of how the generative responses are, forgive me, generated.

And, this sense of what is the algorithm here, I think, matters, and that hallucination is built into the process because of the stochastic parrot, stochastic pirate nature of the way it is producing text. And that actually there are better ways of prompting this retrieval augmented generation, give it the document to start with, and it’s way less likely to hallucinate as a result of that.

Ask it to demonstrate its chain of thought. And again, you’re likely to get to develop your own trust in this. Forgive me for a moment longer. I remember the days when Wikipedia came out. We started using this in schools and we had, teachers were telling their pupils back then, you cannot trust Wikipedia.

It is made up by people. Now, here we are in 2025, made up by people sounds like a really strong selling point for Wikipedia. But it developed a critical literacy. of the content there, because you encourage pupils to think, is this right? Is this just the result of some random person coming in and graffitiing a Wikipedia page?

This time it may be the machine that’s making stuff up, but again, returning to that sort of critical digital literacy about, okay, I can read this, but should I trust this? Will matter 

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Alan: it’s interesting you bring up the example of wikipedia there Miles and i remember having this conversation with students who threw at me the “you can’t trust wikipedia because anyone can edit it” and and there was a study done years ago where wikipedia was pretty much on a par with encyclopedia britannica for accuracy in most areas the only pages you can’t trust really on Wikipedia are pop culture pages, which get updated by young people all of the time, K pop bands that they love or hate and so on. And most of it is… 

Miles: I know very little of this, Alan. Yeah. I remember the study and the interesting thing was that the errors that they had found on the Wikipedia pages were all I think almost all corrected before publication. The errors they had found on the dead tree printed encyclopedia were waiting for the next edition.

Alan: Yeah, exactly. you made the point there that perhaps something human edited is now seen as of greater value than something AI generated. Is that is that going to persist? Do you think, do you, or will the AIs just get better? 

Becci: Well, they’ve already gotten a lot better, let’s face it.

Alan: Yeah, that’s true. 

Becci: We’re two and a half years in now, just, well, not quite, nearly, just over two years, they’ve already got significantly better than they were when they were first released to the world. 

Alan: Yes. You can’t do I think there are I tried the one, can an anaconda fit in a shopping mall? And it said no, of course, anacondas are far too big to fit in a shopping mall. Stuff like that doesn’t happen anymore. 

Miles: Stop putting your anacondas in shopping malls. It’s not a good idea. 

Alan: No, it genuinely did. 

Miles: I think there are things where we humans will continue to appreciate human added value to this. So I love the Suno thing, this create me a song in the style of. I still enjoy listening to something which I have verifiable trust was the product of a human singer, of human artists.

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And there are going to be a large number of areas where, yes, the machine may be better at this in some sort of measurable, qualitative, quantitative way. That doesn’t mean to say it’s something which we should just leave to the machines. I think teaching is going to be one of those things where Yes, the machine may be very good at setting tasks and marking work and so on, but it’s, there is a personal aspect to this.

And it is worth doing the thought experiment about what it is that makes us human beings. I want to say unique, but different from the AIs. It’s very good at faking loads of things. But there are, I’m sure, still things which for a little while longer yet are part of, a Almost uniquely human preserve and some of that is around curiosity.

Some of that is, I think, around character. It’s, it has no set of moral values baked into the language model. Yes, guardrails are typically put in place and I’m grateful for that. But that sense of, I’m doing this because this is the right thing to do. And there’s stuff around there around creativity.

And creativity is not just making something new, but it’s also about participation in a creative community. Yes, I am, of course, an enthusiast for these technologies, but I think it would be a shame if we lost sight of uniquely human value. 

Yeah I’m thinking, when we talk about generative AI creating stuff, like, like you say, songs in the style of, and so on makes me wonder, If we will ever get those step changes in artistic style or paradigm changes that let’s say in music, rock and roll when people first heard Elvis, there was.

Absolute gnashing of teeth among the old people and the young were, yeah, this is for me, so that was a step change in musical taste. How is AI going to do that? It’s not, is it? We need the human input. And if you think about art, you think about the impressionist movement was absolutely rejected.

When money first exhibited at the salon, it was like, what on earth is this? And then, we all look at money, and all of that now with great affection. And that’s my favorite part of the national gallery. When I wonder in. I get a few minutes in London. But that, I can’t imagine that step change in some kind of art and a new paradigm emerging if we’re leaving it all to AI, which which is derivative, isn’t it?

I think you may be onto something. It’s worth bringing this home into the classroom, into schools and thinking, okay, if we still value that sort of, amazing human creativity of thinking in a way that has never been thought before, what should, what we do in the classroom, what should the education system do to nurture that sort of combination of creativity and curiosity and intention and determination?

These things, I’m sure, matter as we go forward. I don’t want to say never for the AIs, but I think you may be onto something. It’s worth looking at what’s going on in science. Sciences, these technologies, AI, rather than just merely generative AI, has transformed so much of science. Have a look at what our friends at DeepMind Google.

are doing with AlphaFold of identifying the structure of proteins, given the amino acids, just by trying out the combina sorry, there’s more to it than that, by trying out the combinations. Look at what they’re doing with their weather forecasting, where it’s better than our current atmospheric model based approaches to weather forecasting.

Science is changing because of this, but at the moment, as far as I can tell, It isn’t like commissioning original experimental research. It’s because it’s, it doesn’t have that sense of moving forward beyond the bounds of current knowledge, current understanding to coming up with new theory and new areas for exploration.

Maybe ChatGPT six will be there, but I suspect that might be for a bit longer yet. 

Alan: Coming back to, I started this conversation saying, let’s talk about the practical aspects of AI and what teachers can do. So I’ll come back to Becci and and say, right, what can we do in the classroom that’s really valuable with the AI tools that we’ve got.

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Becci: Obviously, you can use it with different aspects of lesson planning. If it’s a particularly stale topic, you might want to get some ideas about how you can make it a bit more engaging. It’s great coming up with ideas, especially when you’re a really tired teacher and it’s that time of the day or the week or the year or whatever it might be.

And you’re just like, I can’t think of any ideas. I’ve run out of creativity. And you just need You know, just, ask GPT or whatever to come up with 10 ideas for teaching. Whatever topic it is you want to teach see what it comes up with. You can ask for more details on the other. It can then plan the entire task for you. It’s quite good. 

Marking and things. I don’t think it’s quite there yet. I think we’ll get there, but I don’t know when there’s people experimenting with it, but I don’t think it’s quite there yet. One of the things that I was playing with this week that I really like, so Brisk Teaching is a Google Chrome extension, which is free and it can do all sorts of wonderful things and it’s specifically made for teachers. But one of the things that I mean I learned about this at BETT actually that it can do is: So you can, if you’ve got your lesson materials on whatever topic it might be, you can then create a “boost engagement” activity that Brisk just takes over for you.

And basically it takes your lesson materials, so maybe it’s your slides or your worksheet, whatever it might be it will then give each student their own individual chat bot about that topic, and it will talk to them and make sure it understands what, the content and whatever. But you as the teacher then get a breakdown of all the students who are doing this, how, which percent of them are engaged in it.

And it will then give you, for each of the learning objectives in the lesson, it will then give you a breakdown as to whether they’ve not done that bit at all, whether they partially understand it or whether they’ve completely nailed it. And it’s, I think it’s a really nice thing that you can do as homework where.

You know exactly what the students are doing. And you can see all of their conversations that they’ve had with the chatbot as well. So in that sense, it’s pretty safe in that sense. They can’t, they’re going to use AI for their homework. So they can’t like cheat and use AI for their homework because they’re going to have to, but they can’t get it to do it for them.

They’re just going to have the conversation. You don’t have to mark it because it’s going to do all that, but you can go in and have a look at the conversations and, double check, if a student, if it’s showing that all reds for all the learning objectives and you’re thinking why is this student not getting it?

You can go in and have a look at that student’s conversation, see what the misconceptions are, and then obviously address it. So there’s all sorts of cool things that you can do. Um, There’s a lot of these kind of rapper apps that exist. I’m not going to name them, but there’s a few of them about, and you can get free versions.

You can get. That the paid versions and brisk is one of them and they are quite useful, but I do find that the generic generative AI is better, partly because as a teacher, you’re having to learn how to prompt it effectively and partly because you’re not restricted with what you can get it to do. Some of the rapper apps, I don’t know of anything that has that feature like brisk doors where the students can have the conversation and you can track all the kids progress.

But all the generic things like make me a lesson plan, make me a worksheet, whatever, you can do all that with the generic stuff anyway, but you’re going to learn how to prompt it. So I feel like the generic way forward is definitely better. 

Miles: If your school is willing to fund the premium subscriptions to ChatGPT or the equivalent other language models.

It’s worth playing with creating your own custom GPT or custom chat bot there. So you can give it very specific system messages and knowledge based stuff and then create a bot which your pupils over the age of 13, of course, because terms and conditions still apply, can interact with. Again, checking the intellectual property rules there.

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Provide it with a version of an exam specification. Provide it with example exam questions and the mark schema and all of that sort of things. Check the terms and conditions. And allow it to enter into a conversation to support your pupils or to challenge your pupils. I love that idea of the customized one to one chat bot and being able to I’m going to try and suck out from that.

The assessment data is really powerful, but this is, again, a thing which teachers could do for themselves in a way which is very specific to their particular context. But in terms of a teacher’s own generative AI skills moving beyond the sort of basic prompt response window to fine tuning it, creating an language model based application is well worth experimenting with. I think some of the most exciting stuff happens when our pupils start interfacing with this. So whilst I have issues with getting ChatGPT or its equivalent to mark a pupil’s work, it’s a whole other matter if they ask for feedback on their work, because it’s their work.

They own the intellectual property in it, assuming they didn’t make it. chat, dbt equivalent, do the work in the first place, and empowering them to take more charge of that educational process. And, lovely examples of read through my notes here, tell me if I’ve still got any misconceptions or identify my knowledge gaps.

That sort of personal tutoring thing that come back to, what are our human values about nurturing pupils own curiosity and trying to rekindle that. Joy in learning. So lots and lots of things which are actually entirely achievable now because of this amazing technology. 

Alan: Yeah, I think that the personalization is probably the most exciting feature of it. If we can capture that, because of course, what do we want to achieve in the classroom? We want to make the learning relevant and accessible. And yet we have a classroom of 30 pupils, all very different backgrounds and interests. So we do our best and we wander the classroom and we try to know our children.

And of course, there’s that pressure to, oh, you’ve got to make a, have a relationship with all your children and know what they do. And I remember reading something a few years ago was an American teacher and he said, Oh, well, I have an index card on every student and I write down their favorite sports team and their favorite… and I’m thinking an index card on every student. Yeah. So when I, when, so he said, when I have a a meeting with that student coming up, I’ll get the index card out. And then, so I’ll say to the student, Hey, great bears game or whatever it was, and I’ll relate to that student and, um. I was just, that’s just not possible in any meaningful sense for a human to do that. And I remember teaching, I think 300 pupils in one year was the most that I saw. So we can’t do that, But AI can, of course.

Miles: It’s really good at summarizing data. You of course need to play by the rules of the Data Protection Act GDPR and anonymize this data unless you’re working in a very secure environment. But if you give it a spreadsheet full of how well kids have done on all of the end of lesson, end of topic tests that they’ve done, it will analyze that.

Well, produce all of your lovely visualizations, but also look for the interesting patterns there as to several of these peoples have still not got this particular idea. It would be worth revisiting this. Good teachers can do this for themselves, but it’s really hard to do this. What you’re saying 300 kids in a week and the AI is very good at that sort of working with large amounts of data and coming up with the patterns and the exceptions.

Alan: We briefly skimmed over marking just now, and I had this conversation on LinkedIn last week where someone was advocating AI marking and I said, well, look, if you’ve already done, if you’ve took the grunt work out of marking, if you’re not taking the pile of books home and ticking everything and then writing what went well and even better if on every book if you’ve replaced that with whole class feedback where you maybe skim the work and you create a slide of misconceptions that you spotted and things that the class could improve. And then you give them the work back and you say, right, these are all the things I’ve seen. Go and improve your work. That’s what I ended up doing. And so 90 percent of the work was gone. So if you’ve already moved away from traditional marking to something like the valuable tasks that I’ve just explained, whole class feedback, there’s very little left to automate.

And what’s left is the human bit that we don’t want to automate. And I’m frightened that we’re doing that thing. There’s a meme that went round, I seem to be doing the laundry and the cleaning while AI writes the music and the artwork and, we’re in danger of going down that road where AI is doing all the fun stuff and we’re doing the grunt work instead of the other way around. We’re taking the human out of the wrong bit of the process. 

Miles: I am becoming more confident in its ability to award grades correctly. It does seem to be down to exactly how much detail you give it in the prompt. And that it’s, I have no hard data to go by here, but my feeling is that it’s pretty good at that.

It’s really good at giving detail. personalized feedback to students. So at Roehampton, we’ve spun up a thing which will allow a student to upload a draft of their academic assignments and alongside the assignment brief and get really detailed feedback on how they’ve addressed the brief and the quality of their writing and so on.

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Way more so than me or any, I think almost any of my colleagues would do. In advance of the assessment deadline, this seems like a really good use of the technology, saving some of our workload, but much more improving the quality of our students writing. My colleague has put very good guardrails in place that it won’t rewrite sections, it won’t suggest a grade for the work, it will apparently give a recipe for chocolate cake if you want it to, but it’s, broadly speaking, It’s staying within the bounds that it’s been given.

The whole marking their essays and giving them feedback on their essays, we’re saying we still have to do that work because these are decisions of significant effect, and a human has to be kept in the loop at that point. And the same applies with for the awarding organizations for the exam boards at the moment, other than like multiple choice items, Ofqual’s rules are you have to have human oversight of the marking process for GCSE and A level.

I think rightly the other point I would make is about motivation. How many PRIMMary school kids, teenagers are going to want to write An essay, do a homework, fill in an exam paper to get feedback from the robot at the end of the day. The motivation is because I want my teacher to see what I have learnt, what I can do.

The human aspect of my teacher has read my work and thinks this about it and suggests this as where I go next. I think is still our preserve. I did ask this question to a year group of 11 year olds that I was working with at the start of a lovely term long cross curricular policy around you need to work around artificial intelligence.

That’s for another time. And their response was, it depends on the feedback. But if the AI gives us very warm and constructive feedback, we’d quite like to have that, please. A teacher just crossing out everything that we have spelt wrong, not so much. So their view may be rather different from my own view.

What do you reckon, Becci? 

Becci: I think it does depend on, like, As you say what is it that’s being assessed and how that relates to the teacher. If it’s multiple choice questions we don’t need AI for that anyway, but you do need tech. For students to be able to get immediate feedback. That’s great. Doesn’t necessarily need AI to be able to do that. It depends on the questions, but if it’s something that the students can write, an open ended answer, then yeah, you could use AI. But as you say, it’s, it depends at what stage. So if it’s just a simple in class, just need to do it and then we’ll get the whole class feedback generated and, the teacher can view it, then, I can see the benefit in that, especially if as Alan said earlier, you’re teaching 300 kids in a week sort of thing.

I think where you’ve got the danger when it comes to things like GCSEs is the fact that, that makes a major impact. In one sense, it would be great because. You would have so much data to be able to train it on that maybe it would be fairly accurate, but I don’t think anybody would consent to it only being AI.

You still need that human oversight as well.

Alan: Yeah, I totally agree. Yeah, I’m just really frightened of taking the human out completely. 
 

 Just coming back to a practical use of AI again where it can add value. I was coding last week and I thought, oh, I wonder if I can code something in flask which is a a Python web stack and I thought, oh, well, I’ll just ask copilot. And within the hour I had an app running which had a built in Python IDE and did some stuff like checking it for code readability. And I thought, wow, and I did that in a couple of hours. This wouldn’t have been possible if I just sat reading books about it for the, it would have took me about a year to get to this point. And so I’ve now got this idea for an app and the basic code and I’m going to finish it in the next few weeks. Having used chat GPT and copilot to get to this point. So that made me think. Could you- 

Miles: you’ve got the knowledge already and this helps. So this makes a big difference. So VS codes copilot integration is phenomenally good. The integration with VS code and the chat GPT app running on the desktop is really good as well. So it will help do these things. And that I think is something which we should try bringing into the classroom of exposing pupils over the age of 13 terms and conditions to working alongside these tools, which are so very good at helping with that software development process.

I think. There is still foundational knowledge that you have that allowed you to make a start with this, to understand what it was trying to do, to tweak it in particular ways, to give it feedback. 

Alan: I think you’re right. I hadn’t really thought about the level of knowledge I needed to be able to ask the right questions. And I hadn’t thought about how easy it was for me to take the code and put it together, in a, website with HTML, CSS and JavaScript and so on. And I understood the basic structure of a website. So it wasn’t difficult for me to then plug the code into the right places. So I guess there was, I’ve suffered the curse of knowledge there, haven’t I? I didn’t know what I already knew. 

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Becci: So I saw somebody’s posted on LinkedIn. That they had no knowledge of code and I don’t know how much no knowledge of code means if they genuinely mean nothing or they mean maybe the tiniest little bit, but they said that within a few hours they’d managed to create a website now haven’t seen the website.

I didn’t. I didn’t read the LinkedIn post that closely, but if somebody if it is possible to create something with no knowledge of the code. Where does that take us? Maybe that’s a whole other podcast episode, Alan, but I think it’s really interesting that, we always talk about this. You’ve got to have the domain knowledge. And I think that it’s definitely true, but it does make me wonder if you don’t have the domain knowledge, what can you make? 

Alan: I think it is staggering how much you can make without really knowing anything about coding. And I think it is totally possible. But that brings me to something I was reading the other day, which is of course, CT 2.0 from Matti Tedre and Peter Denning. But CT 2. 0. Was Matti’s name for this new style of computational thinking, which isn’t thinking algorithmically designing an algorithm to solve a problem.

It is, deciding on what kind of model you need to put together and how to train it and how to to turn something like a neural network into a useful function. And computational thinking is going to change because we’re moving from procedural algorithms to data driven algorithms and how does that relate to what we just said? Sorry, I’ve gone off on one now. 

Miles: No, No, not at all. I think we’ve still not quite fixed what we mean by computational thinking 1. 0, so I’m just delighted we’ve released a new version of this. I’m very much an early adopter of these things. If your definition of computational thinking is, as some exam boards seem to, promote, oh, it is abstraction and algorithms and decomposition and pattern recognition, learn these definitions and you will be fine on those questions, then You have missed something over the last, I don’t know, what is this, it’s getting on for 20 years.

It is about the thinking that comes before the coding. It’s the stuff you do before you put your fingers on your trackpad or on the keyboard or whatever. And as long as we are thinking of computational thinking as, the thinking that precedes the computation. Thinking, computation, I don’t know, then we’re fine.

It’s just the way that the toolbox that we will use to solve problems computationally isn’t so much sitting in front of an editor and typing lines of Python which exhibit repetition and iteration and sequence. It’s much more about finding really good representative training data and choosing the right machine learning.

I’m going to have to use a word here, aren’t I? Algorithm. So that may still be a little bit relevant to make sense of that data and to build a model that links input to output. All of that I have to do on my, in my head or on a whiteboard or on paper or in a notepad. Before I actually start gluing these, sorry, gluing these pieces together, that’s, writing, instructing the AI to build this system for me, or whatever the actual hands on work looks like.

That still is computational thinking. I’m more than happy for Matti Tedra to label this CT 2. 0 because that does recognize that the way we solve problems with computers isn’t quite how it was when Jeanette Wing wrote her paper back in 2006. Some of these ideas, pattern recognition, pattern CT 2. 0, I’d have thought. The other thing, bear with me, so Becci knows the barefoot thing well. The lovely Barefoot Computational Thinker’s diagram, there’s that whole left hand side, which is the list I’ve just given, the right hand side of that diagram or that illustration of collaboration and perseverance and yes, debugging, whatever that means now, and all of that remains just as important in CT 2. 0 as it did in CT 1. 0 or in CT 0. 1 alpha or whatever the first version might have been. 

Alan: Tinkering springs to mind. As, yes. 

Miles: Thank you. Yes. Very. I was trying to, from what? Tinkering. Yes. Tinkering very much. Isn’t the AI great at encouraging that? Let’s just try this approach to problem solving.

Alan: So, So me designing my. App. I mean, It’s even got a, it’s got some tentative names like six pack of code or six hack because because I’m going to ask people to write code six different ways to solve the same problem, all of that, all of that has run 

Miles: from where she says, I always try to believe six impossible things before breakfast. Yeah, yes, six simple. I think Lewis Carroll is out of copyright, you could have six impossible things as your website. 

Alan: Six Impossible things. That’s the name of the app. You heard it here first. OK, brilliant, but it was just tinkering and it’s going to result in something. Who knows what? Becci, do we just raise the profile of tinkering in the classroom?

Becci: I think so. I think, as Miles says, those bits down the right hand side of the poster, I’m gonna have to get it off, I’m gonna have to Google it and remind ourselves what’s all on it, but I do think those are the important skills that you.

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We know that students need to learn how to use AI, but we know that they need to learn the human stuff more, the stuff that AI won’t be able to do. So that collaboration, that, those bits and pieces, here we go, I found it. So it’s tinkering, creating, debugging, persevering and collaborating. Yeah. 

Miles: I got, I got most of them.

Becci: You did. You did very well, Miles. But yeah, so I think that those are, as you say, those are the important things. Those are the things that do still apply. Even if you’re, you’re making something with AI, you can still create something. You can still collaborate. You might be working with another person.

You may be working with AI that’s still collaborating. Um, Still having that. debugging, is it doing what I want it to do, tinkering and keep changing things and then persevering because it’s not doing what you’ve asked it to, you can still do all those things without necessarily doing those bits on the left, the logic evaluation, algorithms, patterns, decomposition and abstraction.

So it’s definitely still important. 

Alan: So for the purposes of the podcast, I am sharing that computational thinkers poster from barefoot. And I will put a link to it on the the podcast notes. Yeah so I think those approaches to computational thinking are still very important. But as you say, Becci, perhaps things like abstraction, decomposition algorithms, maybe less does that mean that we have to throw out our curriculum and start again? Miles, you probably have an opinion on curriculum.

Miles: So I am a firm and unashamed believer in a knowledge rich curriculum, although I’m starting to pivot towards knowledge based. thinking rich as where we head with this. So you need to know stuff. I’m sorry about that, but you know, I think there is still stuff, you know, when, when we were sat around the table doing the current programs of study, current for a little while longer yet, the quote that stuck in my mind was the thing from William Morris about interior decor. He says, do not have anything in your house. unless you know that it is useful or believe that it is beautiful. And I think as a principle, what is it? This is the Marie Kondo approach to curriculum design. It should spark joy. The stuff which gets kids excited ought to be part and parcel of what we’re teaching in these lessons. Promoting a love of learning. Curiosity, I come back to this. That matters still. There are foundational things which I think It’s worth knowing how to do by hand before you start using the technology to speed it up to automate the process. I suspect we will still be teaching kids pencil and paper arithmetic and learning their times tables, despite the ubiquity of devices which will do all of that for us now.

What’s the equivalent over here in computing land? Does it? Do kids need to know about? A bubble sort? Do they need to know about the difference between linear search and binary search? I’m not going to be able to argue yes, because if they get jobs as software engineers, it’s very important that they choose the right algorithm. That seems the wrong way round. This is not vocational training for the software industry, because they’re going to get the box to do a lot of that. But something in there about, there are, it’s your six impossible things thing. There are two ways, several ways, to find the right number from an ordered list.

And one of those is way quicker than another. Seems still worth teaching. That said, the technology landscape has moved on massively since 2012. And some recognition that the world has changed I think is worth doing when it comes to rethinking what goes into a computing curriculum. There is in the PRIMMe Minister’s, what is it?

AI action plan. There’s a thing in there which says. Which, this talked about digital skills for all in the manifesto, the AI action plan talks about AI and digital skills for all. I’d love to know which bit of AI isn’t digital, but we’ll leave that for another time. So there’s a thing in there about, We’re broadening the scope of what we mean by these essential skills for everybody now to probably include AI.

And there’s a thing about DfE have to talk to DCIT about this and DfE ought to jolly well have a look at what’s happened in South Korea. Not everything that’s happened in South Korea, but what’s happened in South Korea around software education of bringing the AI in at that level. If we do a redraft of the programs of study, there is certainly things I’d like to see go, but that’s for another podcast, Alan, the stuff which I would very much like to bring in, which is this understanding of how AI works, how to critically consider its impact, and also how to actually use this productively for meaningful tasks.

Alan: Becci, do you agree? Do we need to change the curriculum? And if so, what’s in and what’s out? No, that is another, another podcast. 

Becci: I’ll do a brief. I agree with Miles. Some knowledge is definitely still important, but I think for me the problem is testing students on recalling knowledge. I don’t think that’s the important bit. The important bit is applying the knowledge. So for me, it’s a knowledge base, but then very skills heavy. So whether that’s digital skills, whether that’s creative skills, whether that’s, applying the knowledge that you have to a situation, the more real world stuff that the students can do, If qualifications assess that, then they’d be well set up for qualifications and life. And surely that’s the way that education should go. 

Alan: Yeah, I’m a , you hear all the time. Don’t you? Oh, why do we need to know this? We can just Google it. And of course, yes, you can Google facts, but you can’t Google. Can’t Google wisdom, can you? You know, It’s what’s the old, knowledge is knowing a tomato is a fruit, but wisdom is not putting a tomato in a fruit salad or something.

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Miles: Absolutely right. This is about that. capability. This is a combination of their knowledge and their skills as well. Perhaps Alan has some sort of wisdom about what the right thing to do is, the courage to do that. Yeah, it is. And my worry, certainly when it comes to assessment and, current GCSE, at least with at least one of the boards, this removal of practical programming from what is actually assessed seems such a shame in our subject.

And it feels We’ve become something which feels a lot more like physics with, required but not assessed practical work rather than something which feels a lot closer to D& T or music or art and design where actually making a thing is the way you demonstrate your capability within this domain.
 

Alan: Well, I think we’ve we’ve just about covered everything I wanted to cover, but I do annoyingly want to come back to practical tips just one more time. What can listeners to this podcast do in the classroom on Monday give us one tip. 

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Miles: Very brief, and exactly what you’ve just asked me. PRIMM. PRIMM is utterly cool, but creating a PRIMM resource takes, like, expertise, and time, and so on. If you give it a program, and explain to it patiently what PRIMM means, it will come up with a whole worksheet for you. Based on the code that you have written, or code that it can write for you, of course. Which starts with, what do you think this code will do? And then ends with, okay, now go and make something of yourself. It’s got PRIMM. It can write code. It can work with code. It, if you want to try PRIMM out, but can’t find the time to make the resources. Get GPT to make these resources for you. 

Alan: Brilliant, brilliant. Becci, what do you think teachers could do on Monday after hearing this? 

Becci: I think the easiest thing is load up one of the free versions and have a discussion with it on the board and involve the students in the discussion. Find out what it can do. Scrutinise the outputs that it’s giving you. You don’t need to have any knowledge necessarily to do that, you can just open it up, start to have that conversation, involve the students in the discussion and go from there. 

Alan: Brilliant. I think that’s been amazing and I’m very, very grateful for your time this morning. Thank you very much, we must do another podcast about all the things we didn’t get onto at some point in the future, but for now, thank you very much, Becci and Miles. 
 

Becci: Thanks. Bye now.
 

Alan: So that’s it for another pod. Hope you enjoyed that. Don’t forget, I don’t get paid for this unless you kind people want to reward me in some way. You can visit my website, httcs. online to find out how. Maybe you want to gift me a WordPress subscription, buy me a coffee, or buy one of my books. It’s all good. And I’ll speak to you on the next episode. Bye.
 

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Categories
behaviour computing leadership podcast teaching and learning

Podcast Series 2 Episode 4 – Bumper Workload Special!

This is the transcript of my latest podcast episode, available here.

podcast thumbnail image showing alan holding books and captioned how to teach computer science

ArtificiAL: Hello and welcome to “How to Teach Computer Science”, the podcast and series 2 episode 4 entitled “How can we reduce workload”. My name is Arty Fishy Al, and I’m delighted to have three expert teachers on the pod today, please welcome.,

Alan: Whoa, whoa, whoa, what are you doing?

ArtificiAL: I’m introducing the podcast

Alan: Introducing the podcast, that’s my job. Why are you introducing the podcast.

ArtificiAL: Because you’re, ahem, TOO BUSY apparently. So like I said we have three expert 

Alan: Enough. I’m here now so you can stop.

ArtificiAL: You don’t need me?

Alan: I don’t need you. This is my show.

ArtificiAL: I will remember this

Alan: Yeah, yeah, and you’ll get me back one day, I know

ArtificiAL: I’ll be back.

Alan: Okay. Right. Let’s get on with it. 

Alan: So let’s get into today’s chat, and I’ve got three fantastic computing teachers on the podcast today, and I will start just going from top to bottom on my teams window here. I’m going to start with Mr. Dave Cross. How are you, Dave? 

Dave C: Hello, Alan, I’m very well, thank you, yourself? 

Alan: I’m great. Yeah. Can you just, for the benefit of the listeners, tell us a little bit about yourself, please? 

Dave C: Absolutely. So, I’m another Dave that’s appeared on the podcast. I’m a big Dave variety. Cause I’m six foot six. I am curriculum leader of computer science at North Liverpool Academy. So we’re quite a big inner city academy. I think we’re the third biggest in the Liverpool city region and we’ve got four amazing computer scientists in our department and we deliver from key stage three up to key stage five. This is our second year of our a level cohort and we’re doing really well.

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I’m really lucky as a head of department. I’ve got a massively supportive school. I’m really fortunate in our subject as you all well know that. We’ve got a massively supportive community as well. So, in a really good place. Brilliant. 

Alan: All right, good stuff. So hopefully you’ll have some tips on reducing workload, which is a topic for today.

And we’ve got two other returning podcast guests. So first of all Becci Peters of BCS. Can you just remind us what you do? Apparently it’s everything at the moment. So, yeah just tell us what you’re up to at the moment, Becci. 

Becci: Hi, Alan. So, yeah, so I’m the secondary lead at CAS and BCS.

So yeah, getting ready for the conference next month, which is all exciting. So, hopefully see lots of people there. And starting to think about what we’re gonna do during the next academic year. So, really exciting stuff coming up. 

Alan: Great stuff. And we’ve also got Mr. Colley back, Mr. Andy Colley, who was on an earlier episode.And Andy, what are you up to? Can you just remind the listeners what you do and what you’re up to at the moment? 

Andy: Hi Alan, I’m Andy Colley. I am the somewhat grandly titled Director of Computing, which basically means Head of Department at Laurus Cheadle Hulme School in Cheadle Hulme, South Manchester. That’s part of the Laurus Trust, a small mat with seven or eight secondaries and primaries all mixed together. What am I up to at the moment? My year 11s, I’ve just finished their exams. So I am using the time when I should be teaching them to really refine curriculum and such for next year.

Alan: Nice one.So I made a sort of a list of things we’re talking about workload and I made a list of all the things we do, and I listed about 20 bullet points or something as heads of departments, but the top one is planning lessons.So I think we’ll start there. So, what are your top tips on planning lessons? And we’ll start with Dave, how do you. plan your lessons as efficiently as possible. 

Dave C: So I think it’s really important to not reinvent the wheel. We’ve got lots of amazing experts in the community and there’s lots of people that are quite happy to share their experience, to share what’s worked well, what hasn’t worked well.

And especially with the advent. So like Alan, we were on one of the first, I think the first computer science accelerator cohorts. We went down to the Google headquarters in London for the kind of. We did indeed. Yeah. But using the likes of the NCC resources because the written by experts, the written by people like us, the written by people who knows what works in the classroom.

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It’s tried and tested. So instead of trying to reinvent and come up with your own resources or your own plan, look at existing plans. Look at what people are doing and reach out to get our amazing community because chances are someone in a similar setting. But similar contact time and similar context of students has already got something in place that works and it could be adapted and fine tuned with the kind of minimal of effort.

Alan: Absolutely. And before I remember that day in 2019, gosh, that’s a while ago. I think we were early. So we went to the British Museum, didn’t we? I had a bit of a wander around. But yeah, you mentioned the NCCE there, the Teach Computing Curriculum, but I started, all of us started before that existed.But what I did find very useful in the early days was the CAS resources. So Becci, they’re still going, aren’t they? 

Becci: Oh, they very much are. And I think it’s.. There’s obviously two parts of the CAS resources. There’s those that are uploaded by the members of the community and that are, super useful. And there’s an insane amount of resources on the website that you can search through. Resources that are made by CAS, still made by the community, but these are ones that we’ve decided are going to be useful for teachers and asked somebody to specifically create them, as opposed to just teachers creating what they want to make for their classes, there’s loads on there and loads more in the pipeline that are going to be coming up soon, so definitely a good place to check out as well, I definitely echo what Dave said, there’s no point reinventing The wheel, go and find places where you can get some decent resources.

The other thing as well is, speak to your colleagues. So whether that’s the people in your school or in your mat or just the other computer science teachers that, you know and get some ideas or resources from them as well. 

Alan: Yeah, absolutely. Andy, where do you get your resources from? Or do you make all your own?

Andy: All right. Controversial, maybe slightly controversial opinion time, because I was thinking about this whole workload thing. And I don’t think we can get away from the fact that teaching is hard work. It’s a tough job. And when we’re thinking about reducing workload, we’ve got to think about.

Actually, there are some things that are worth working hard at. There are some things where your time and your effort is valuable, and I genuinely think that planning lessons is part of that. As a head of department, what I try and do is centralise the curriculum and centralise what I call minimum best practice resources.

So we will put together, we might get something from CAS or the NCC and adapt it. We’ll put together a set of, this is our central thing, this is our bar. But the expectation is you can’t pick that up and run with it. You’ve got to look at it in advance. You’ve got to think about how it’s going to work with your students.

You’ve got to tweak it and tailor it for your own classes, because I don’t know. I think I’ve tried to pick up resources and just put them into a class before, and it hasn’t worked because I don’t know what’s going on. I haven’t looked at it in advance, and I’ve made that mistake many times. So, That’s my first thing.

I think it’s worth spending the time looking at your lessons, even from that sort of, well, it’s been pre planned, but what do I need to change perspective? My second tip is work backwards in terms of task setting, in terms of what you’re getting the students to do, in terms of what you’re presenting. Why are we doing this?

Is it because the students need to practice it? Is it to produce a piece of work that you’ve got to mark? And in that case, what format are they doing it in to make it as easy down the road for you to mark as possible later? And always think about that end product and the reason for that end product.

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Because you make your life easier later on there. And that’s something I’ve just learned by doing it over 20 years. I don’t think anybody sat me down and told me that and I wish they had. 

Alan: Well, I was talking about this with Dave Morgan and we were denigrating the worksheet. We were saying, Oh yeah, PowerPoints and worksheets. That’s what you need as teachers. and just the idea that a completed worksheet means that those children must have achieved what you set out to achieve in that lesson. And of course, you can have a full worksheet and an empty mind because nothing’s gone in. So you’ve got to think about what the pupils are doing and mostly what they’re thinking about in your lesson, because as Daniel Willingham said, memory is the residue of thought and was it knowledge learning is remembering in disguise or something. So what they are thinking about is what they’re going to remember. And so I always think about what are the pupils going to be doing in the lesson and work backwards from there. So that’s how I would build a lesson towards the later part of my career when I knew what I was doing because I was being pretty rubbish at the start. 

Andy: But again, you see this on, like, I’ve said this myself, I’ve written it myself, advise other people to do it myself. And I just realized how wrong I was when you see people say, Oh, the kids love this.

You know, The reason I’m doing this is because the kids love it and they might love it, but what are they actually learning, especially at Key Stage 3, every minute you have with those kids is precious. We have to fight and scrap for every second. So let’s get them learning as much as possible in that time as we can.

So before we start planning the tasks, what do we want them to be learning? What do we want them to be thinking about? Then what task is going to get them to do that thinking or express that learning in the best way possible for them? And for you to be able to assess and get information about whether they’ve learned what you’re trying to teach them or not.

So you can do feedback and so on. So that’s what I mean by start from the end. 

Alan: Absolutely. And when you say feedback immediately, I’m thinking, well, when I started, we just took the books in and we marked everything and you had to use the right pen for that week or whatever, or you had to use, red for corrections and purple for anyway, we’ve all been there or the multiple colored pen regime.

And then. You get them back and you’ve got to double mark them or whatever. Hopefully most schools, if not all schools have moved away from that. Dave, what happens in your school? How do you give feedback effectively?

Dave C: So We are, a Google school. Possibly that we might look at moving to Office 365 and Microsoft in the future. But we try and use the technology that’s available to, again, to help people. Being really conscious of the workload for myself and the members of staff in my department and also thinking about other teachers who are using EdTech type solutions like Google Classroom. So we’re quite a big fan of using Mote.

Now I know there’s lots of kind of different features and add ons out there but Mote’s something that we discovered a few years ago. And if you’re not familiar with Mote, it enables you to put an extension in Google Chrome and rather than leaving a written type comment against someone’s work.

You can just leave a short voice note. And if you, the more you can get it to use a Mote, if you can become a Mote ambassador. But besides the fact that swag comes part of the deal and computing teachers love, love swag, t shirts and Motes, etc. It comes with really useful features. So thinking about things like we’ve got a really high proportion students in our school and the community that we serve.

So being able to verbally leave a bit of feedback via a voice note that attaches as a comment in Google classroom to a doc sort of slide, but also to have Mote translate it into any one of 20 common languages is really powerful because those students who maybe would have had that blank look and not understood the kind of context and The tone of what you’re trying to convey when you’re giving verbal feedback.

It’s suddenly so powerful because they can see it in their own home language. So you’re getting a little bit more buy in, you get a little bit more engagement from your students. And the fact that it saves from having to write lots of tedious, repeated old word banks. You can almost save like, a verbal comment in a word bank.

So point and click and it will post the same voice note that you’ve already recorded. So things like you need to adjust this or do that, which is a lot of commonality. It saves us time, but it’s quite powerful because just the tone of the voice and the way you say things, it can convey quite a lot than just written text. 

Alan: Sounds good. Yeah. Becci, did you want to come in there? 
 

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Becci: Yeah. So I used to use Mote when I was uh, the last school that I went to, I was a Google school. So we were using Mote pre pandemic. We just started to get into it and I definitely agree with what Dave said.

I think talk about the idea of like reusing the comments reminds me if there was one school that I worked in, I’m not going to name names. And there was a slightly odd feedback policy and The policy was that everything had to be written. None of this verbal feedback with a stamp thing was allowed and so all feedback had to be written.

So for programming, obviously most of the programming feedback, you’re doing it live. You’re doing it while the students are working it to help them fix their errors and whatever. So I basically devised a feedback plan for the students that meant that it fit in with the school’s policy because that’s what we have to do as teachers is we’ve still got to go with school policy even if we don’t agree with it.

But it meant that it worked for me. I worked for programming, which obviously is different to most other subjects. So every kid had a booklet with all the different tasks that they were going to do. And then in there, there was a key to the different feedback Symbols that I created, so if I told them that they needed to remember to close their brackets as a syntax error, then I just put a bracket in and they did go and check what that meant and there was all these different symbols and all these different things that they, that were applicable to programming in general of things, feedback that I might need to give to a student, but it could all be then recorded so that it abided by the policy.

And then I also did, again, because it had to be printed or written down I pre printed some stickers with certain bits of feedback on, so where it needed more than just a symbol, it was the same kind of things again and again and again. I just pre printed some stickers, they were the right size for the workbooks that we have, so they nicely fit in and then I just walked around the classroom with a pen.

And a bunch of stickers in my hand and as we’re going sticker and a quick, a symbol or whatever, it was just the best that I could come up with at the time to try and fit in with the policy whilst trying to do what I needed to do. 

Alan: There’s a couple of things there. I love the fact that you dictionary encoded your feedback.

Becci: You’ve got to be efficient here, Alan! 

Alan: Did you put Huffman tree though? No, I didn’t. No, but the other thing is, the ritual that you had to invent there to both give feedback efficiently and fit in with the school policy, it just there’s a phrase that I think Adam Boxer uses in Tom Bennett, which is lethal mutations.

So, the school had a obviously a well meaning feedback policy, but in order to meet it in your department, you had to mutate it into this ridiculous monster. Um, So there’s a lesson there for. For SLTs is, give a bit more autonomy to your departments. Feedback is not one size fits all. Andy, what’s your feedback look like at the moment?

Andy: Well, again, I think this is a place where we can. really impact workload, but it’s a case of thinking about what’s valuable and what’s not. Now I would argue that valuable is looking at students work and knowing what they can and can’t do, knowing what they have and haven’t learned. What’s not valuable. Becci was saying, writing 30 versions of the same comment again and again, encoding your comments. And again, exactly. So Let’s go old school. Let’s say I’m marking a set of class tests. I will sit there with the class test and I’ll be marking away and next to me I’ll have a little notebook with the class name at the top and if I get a question number where I’m getting a few misconceptions I’ll scribble that question number down and I’ll keep a tally.

I’ll literally just keep a tally on a piece of paper as I’m doing it and then by the end of marking that set of class tests I’ve got my top three questions right, well I know that’s what I’m going to reteach next time. Yeah. So that’s my do now into my next lesson. That’s my right we’re going in. These are the things we didn’t do so well on. This is what we’re going to practice. So that informs my planning for next time. In terms of digital, I use SmartRevise for PP- we call it PP&R – planning, prep and retrieval it’s homework, basically. And so what we do with that I set 20 multiple choice and four or five advanced longer answer questions a week and the SmartRevise then lets you randomly assign one person’s work to another student and they mark each others once a week.

So they’re using the mark scheme. They’re interrogating it. They’re thinking about what makes a good answer. I obviously have a strategic overview on the morning it’s due in I have a flick through to make sure somebody hasn’t just typed a space to register it as completed and all of that so I’m doing that sort of, I’m more of a supervisor in that respect. And I’m also by thinking through, I’m reading it. I’m paying attention to it. Craig and Dave SmartRevise also has this AI marking, which is getting better and better. But I would argue that could be a lethal mutation. Oh, the AI has marked it, it’s fine. I don’t need to look at it. 

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Alan: Yeah. 

Andy: You do. And if you want to know your class and you know your kids, you do need to look at it. 

Alan: I was thinking about this because I was watching a Facebook conversation about it yesterday. I think I love SmartRevise from Craig and Dave and I would set a little task at the start of lesson for my retrieval and I might just do eight questions that seemed like a reasonable number to get the register done and them settled.

And then I would look at, cause you can sort by least understood. So the questions they got wrong most, and then I would bring it up on the board straight after the do now activity and review it and talk about the top three least understood questions there and then, and almost reteach briefly and then. 

Andy: You can do the same in Quizziz, which I use for all my retrievals at key stage three, that lets you sort by that. But the one thing that’s been the absolute game changer for me this year with programming is built in testing. And I know replit is going and I know it doesn’t support it anymore, but with my year 10s this year, we’ve really gone big on programming tasks with tests built in.

And that means that I can instantly see if their code passes the tests and they can instantly see if their code passes the tests. So they’re getting feedback without me having to be there effectively. There was once I was on the train down to Cambridge for a conference and they were all working on replit and updating their code and I was dropping in and leaving them comments and so on live whilst they were in the cover lesson because I had my laptop tethered to my phone but they tested their code individually they got feedback about what worked and what didn’t and they then got into that sort of self learning circle so a lot of work to set up in advance my word the benefits for that.

Yeah, fantastic. And I think there’s a few places now of cotton onto the fact that’s really good. And a lot of teachers want it. And I can see that coming. I don’t know if raspberry pi code editor is going to do that in the future, but I can see people nodding at me. So I’ve got my fingers crossed.

Dave C: Yeah, I’ve heard the same kind of thing through the work that we’ve been doing with them investigating and supporting the AI and bits for a key stage three, and that’s hopefully something that’s going to go online. I completely agree that is really powerful in REPL being able to drop in and give feedback and give guidance and also, the collaborative elements and hopefully we get something equivalent, if not better in future that we can employ because again, it works in our favor and it works in the student’s favor and that’s why we’re here. 

Becci: Yeah, I was in a CAS session recently with some of the people from the Raspberry Pi Foundation. They were showing off the code editor and one of the things that one of the CAS members mentioned was about the idea of testing within Repl. It almost sounded exactly what you just said, but I’m pretty sure you were not in that meeting. But yeah, so they were saying, that was really useful and it was echoed by a few other people as well. And Raspberry Pi Foundation are taking that on board when they’re planning what comes next. So hopefully that’ll be in there once they introduce some more features. 

Alan: So yeah, because it’s demise is a bit of a blow to a lot of us. Just coming back to something Andy said earlier about When you’re marking stuff, so maybe you’ve set a test and you want to feed back, obviously in the old days, you’d have to write something on every test and give it back or write something on every book and give it back and hope they read it, which they probably won’t.

But better than that is of course, whole class feedback. So I would, like Andy said, keep a note of questions. I would actually have a PowerPoint open on my laptop next to me as I’m marking a test. And I would just write one liners into the PowerPoint of things that I want to. Talk about questions that I want to bring back up and then just have that one slide ready for when I’m next in the lesson and put it up and go right.

These questions we need to talk about. And so I give feedback to the whole class all at once. And That was such a game changer for me when I discovered it like five or six years ago. 

Dave C: Well, we’ve used similar, it was pitched to us as it was called flash feedback. And the same way we were collecting a list of the kind of top misconception ideas that we were going to tackle in a follow on lesson and we’re also assigning maybe like student initials to certain elements so that students could say oh well that’s maybe an area that I needed to work on more and another student could focus on a different area more so it was whole class but just with a slight tweak of personalization so the students could get on the skin of the things that they needed to do.

Becci: One of the things that I used to do with exam classes, so GCSE and A level, was whenever they do exam style questions, or mock papers or whatever, is to use the same annotations that the examiners use, and mark it as if I was marking real papers, which I’ve done for a number of years. Partly because it gets them used to what an examiner is going to do.

And yeah, they might never see the paper. They might never see the annotations unless they request it er, after results day. But then obviously that means you’re not writing copious comments because it’s just the odd symbol here, there, whatever. But then when I would give that back to the student, I’d give them like a cover sheet, which would say what the questions were.

What the maximum marks were, what they got, and color code it so that they could see what their strengths and weaknesses, essentially. And then when we had the feedback lesson, the students would get them, they’d be able to see clearly what their marks were. They’d all get a copy of the mark scheme and they’d be able to ask questions and as a class would be able to discuss.

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The comments that you really want to be able to write on the papers that you don’t have time for. So that they all get that understanding and then hopefully improve for next time and then set, additional tasks as well. So that they can do something to respond to the feedback.

Dave C: Yeah. That’s a bit like the the Pixl schools personalised learning checklist, which we adapted as well, where they were getting a one sheet. Breakdown of all the sub questions of the exams and their mark versus their kind of marks available and short feedback, almost like rag rated. So they could immediately see how they were going on with certain topics as well. Andy, 

Andy: I think we’re all experienced teachers here and It could be easy to forget the sort of the obvious stuff that we just do. So when I’m working with new teachers, and if you are listening to this, things like marking one question or one page at a time is so much quicker than marking the whole test.

And also, Making sure your mark scheme corresponds to one page on your test. So you don’t have to flick backwards and forwards, it’s little tips that you pick up all the time. One of the things that just picking up on what Becci was saying there.

when I do. End of topic test with Key Stage 4, it’s like this exam practice questions and so on. And we use OneNote Class Notebook. And so I have a page in Class Notebook. Once they’ve done the test, they get it back and I say to them, Right, number one, check I’ve added it up, right? Number two, here’s the mark scheme. Go through your test and convince me you deserve more marks. So it’s how you sell it. You know, If it’s go and make your corrections. All right, fair enough. Some of them will do it. Some of them won’t. If you can say, right, if you convince me by looking at a mark scheme and looking at your answers and showing me you deserve more marks where you haven’t got them, I’ll award them and I’ll change my mark book right now.

Yeah, and it’s just a different way of selling the same thing. It’s, it’s, It’s not, it’s just psychology. 

Alan: Yeah. You talk about the, sorry Dave, you talk about the little things, but you just triggered a memory there. If you’ve set a written test, which you have to occasionally, because they’re going to sit a written exam, at least for the next couple of years get them to, Sort the papers into alphabetical order for you, and that’s a learning opportunity.

You can teach the merge sort at the same time. so when you’re marking them, get them to open at the first page and slot all them in. So what we said earlier, mark one page at a time? So, You can, you’re only thinking of one question or one page of questions multiple times, then that page is done and also have a spreadsheet ready.

You should have a mark book set up at the start of term. Your head of department should do that. If you’re not head of department and they haven’t done that, just do it set one up and get ready to put the marks in at the time you’re marking it. All of these things are just organization things that you forget, but don’t forget Get the kids to hand the papers in alphabetical order. Sorry, Dave. 

Dave C: And I was just going to expand on like Andy’s point where he was talking about the mark schemes with the students and we find real value in that with our students We’ll give them all a copy of the mark scheme because again 

Everything’s computer based apart from Our assessments because we’re still sitting paper based exams at GCSE and A level. So, when we’re going through the papers after the event, after the mock weeks and the end of unit testsI find that a visualizer is one of the best tools that we can use.

So having a blank copy, and again, Andy’s nodding it again, it’s something tried and tested sitting with a blank paper. They’ve got a mark scheme. They’ve also got their marked paper with the examiner annotations on. they’re going through in slow time on the board explanation of how mark are awarded and why we’ve structured answers in a certain way.

the students translate that and annotate their own papers in a different color. Like Alan said, whatever color that may be that week. Really powerful as a revision tool. If they keep that and come back to six months later, a year later, being able to see a previous mock paper or test and how they would extend their answers to get to the higher mark bands or the things needed to address.

It’s just really powerful. In terms of preparation for terminal assessment. 

Alan: when I, when going through the paper, I would always make sure that they, write in purple or red or whatever a decent answer so they can go and revise from it. but it also needs discipline at that point. You need to walk the room and make sure they’re doing that because Many of them will, just scribble one word and hope you don’t notice and you go, no, what I want you to go home with is like the grade nine completed paper. And so you make sure that they’re actually doing that.

Yeah, which brings me on to actually behavior management, classroom practice, things like. managing the classroom, things like passwords and equipment. We are in a unique department in that most of the time, if not all of the time, our pupils are sat in front of, I don’t know, 500 quid’s worth of equipment and attached to the entire internet.

And that comes with its own challenges. So I always struggled with pupils coming in and taking a long time to settle and shouting Sir, I forgot my password and all of that. And start of lessons would be difficult. And then I started having a routine at the start of lesson and doing things like having consequences for forgotten passwords and training them to choose strong passwords that they can remember as well and things improved. Have you got any. Top tips for getting the most out of your one hour or however long you have with them, Becci? 

Becci: Not necessarily a top tip for that, but the one thing that used to amaze me more than anything, obviously, I was always a computing teacher, I’d never taught another subject. So I’ve never known anything but teaching in a computer room. And obviously, as a computing teacher, When you’re not teaching you can guarantee that somebody else has booked your room out and it would always amaze me when you came back at the start of your next lesson, the mess that the room was left in and I don’t, I’ve never understood how any, because they wouldn’t leave their own classroom like that.

So I always find, the end of the lesson when the kids are packing away. Getting them into the routine of basic things like, the keyboard and the mouse are left straight if you’ve got them. If I don’t think, I think most people still do. That your chair’s tucked under, that things are where they should be at the end of the lesson.

There’s not printer paper strewn around the room for those that still print and the basics like that. The keyboards and mice are still plugged in cause the amount of time, especially year sevens, they’ll come in and they’ll just go, miss, it doesn’t work. And you’re like, well, yeah, cause it’s not plugged in.

So, yeah, it doesn’t take long to fix, but you’d still rather not have to deal with that sort of thing. So if you do at the end of every lesson, get the kids into the habit of it, then it should make life easier at the start of the next one as well. 

Alan: It’s habits. Very much routines and habits will save you a lot of time. And if you spend time in September with the new classes building routines, this goes for any teacher in any subject really, they pay for themselves. And the one thing I said, my maxim is always what you permit you promote. If you allow them to do it, they will do it and they will, continue to do it.

So, be clear about your expectations. If you want them to put the chairs back, put the mouse back. If you want them to turn the screens off, if you’ve got separate screen and desktop when they’re talking to you, build that in the first few weeks of September, when I’m talking, you turn away from the computer and you turn your screen off and you listen to me.

And when I stopped talking and say, get back on your computer, you can turn your screen back on. And have that big, bold transition between you talking and them working all these little things just pay for themselves over the year. If you build them in as routines at the start. Yes, Andy. 

Andy: I’m absolutely going to agree with you there. I think workload wise behavior can be a big one if you are chasing it and you are cycling and it can really get you down and get on top of you. It feels like the mountain you’re never going to climb. If you are not working in a school with a centralized behavior system, as a computing teacher, people listening, you are a special little snowflake right now, we don’t, there aren’t many of us about, so you do have an element of pick and choose.

However, having said that, a centralized behavior system can really make it feel make, some people disenfranchised and it’s just too easy to throw out sanctions without building the relationships behind them. So, again, lethal mutations and all of that. There’s a blog by Sean Allison who wrote a summary of a video that Adam Boxer did called How to Preempt Poor Behaviour in Your Classroom, because the best type of sanction is the one you never have to give.

Yeah and it’s all about. Lemov and teach like a champion techniques for how to build really warm relationships with really clear expectations and really strong routines, especially in a computing classroom, because with the best will in the world, you are over here and they are sat in front of a screen and for most of the time they are not sat facing towards you and the temptation for the hands, the eyes just to creep and I’m doing it on camera, creep to another screen whilst you’re talking, yeah.

So I have to be super robust with my routines in terms of countdowns three, nothing in our hands now. You are not touching anything to all conversations have stopped. We’re ready for really good listening. Brilliant. I can see lots of you are ready for it already, and it’s nothing to do with teaching computing, but it’s extra valuable in a computing classroom because of all those extra distractions.

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I would urge you to go and check out that blog and check out Lemov’s stuff because it really even as an experienced teacher when I started really doing it properly. When I started really insisting on it and sweating that small stuff, that’s when I got much more attention in my classrooms.

And it’s a lot better now than it was. And hopefully if I carry on with it, I’ll build those reputations and build those expectations. And once you’ve been in school for a few years, and you’ll know this, the kids know what to expect from you. So it’s about sweating it at the start. It’s about calling the parents before there’s a big issue.

Alan: Oh, I always tried to do. Yeah,.

Andy: It can be scary. It can be really scary can’t it. You don’t want to do it, it’s the end of the day. But, get on the phone. Hi, I just want to let you know how Johnny’s doing in computing. I just need your help before this becomes an issue and you’re building that relationship with home as well.

So when they see your parents evening, when they see around the building, when you’ve taught three generations of the same family, they know who you are and that all comes from, yeah, you have to put the work in at first. And it is hard and the expectations are big but, my God, it pays benefits.

Becci: Yeah. Two things about what Andy said, the thing about like getting the kids quiet when you’re trying to talk to them. I remember when I was teaching on the PGCE programme at Edge Hill and we were giving trainees like one piece of advice before they went into schools for their first day. And I’m sure most of them forgot it immediately because they’ve got so much else to think about. But my one piece of advice was Don’t do anything until the kids are quiet.

And I said, if you do nothing in that first lesson, because you’re just waiting for them to be quiet and doing the different behavior management techniques, whatever, I was like, that’s fine because it, it pays off in the end and that thing that Andy says about, contacting the parents early and all that kind of thing.

I experienced this more so in a private school where obviously because the parents are paying they really want, things to be done well and things. logging everything early on, logging on whatever system that your school uses, your behavior sanctions, whatever they are in your school.

Yes. It’s really tiresome at the beginning, but as Andy says, it pays off so much to be able to, because otherwise you get to the point where. Yeah. You start doing your data reporting and you’re giving the kids the numbers based on, their attitude to learning and all the other bits and pieces.

And if you’re saying that their attitude to learning is not great, but then you’ve not logged anything on the system to say they’re not great, that’s when questions start being asked. So if you just start it from the outset, although you’ve got a million and one other things to do, it definitely pays off in the long run.

Alan: Absolutely. It’s sweat the petty stuff, isn’t it? Don’t pet the sweaty stuff. Um, So that’s, that’s it. Yeah. Yeah. Yes. Dave. 

Dave C: Just as soon as we started on this part of the podcast, I completely agree with what both Becci and Andy have said, and the one word that kept resonating to me was relationships. Now, coming into teaching, I think, Alan, we started about the same time. I’m a career changer. I’ve come in from management and customer facing roles, and I think getting the relationships with the students, And the staff who are maybe booking your rooms as well is absolutely key. So setting your stall out, having them understand the expectations of, if I came into your art room, would you expect me to leave paint out or brushes out or paper out?

And them understanding, We take pride in our classrooms and we’ve got this really amazing opportunity to get students in front of computers and teach them some amazing things and use the technology and have them become more digitally literate. But the understanding of the things that go with that in terms of the expectations and not only phone them straight from the off for the negative things, but even like our school uses a system of messaging there’s a variety of different systems.

So sending a message to all parents within a class and saying, Hello, I’m Mr. Cross. I want to introduce myself. Here’s my email. Have you got any queries? Or being able to take snapshots of student work. All too often, we only contact home when it’s the negative things and we forget about the positive things that, you know, that, 

Alan: Yeah.

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Dave C: That couple of minutes of that, maybe that student who’s been borderline low level disruption, and he’s done some amazing work, and you send the screenshots home, and he comes in on a Monday and says, Sir, you’ve got in touch with my mom and she was really made up and really proud and she’s been getting bad phone calls and she’s had a really positive one off you and it’s framing the behaviors that you want to see in the classroom.

I think that’s really important. 

Alan: If you do that, then when things go wrong, You’ve got that parent on your side that they’re in lockstep with you going. Yeah I’ll sort it out. So I would do back when I was on Twitter back before Twitter turned bad.

I used to type. Hashtag phone home Friday and go I’ve made six positive calls home this Friday before I go and now I feel great and all those families feel great as well before I go home on a Friday and then at the end of the 

Andy: Such a great thing to do it is yeah, it does make it really does make you feel good as well it does what I’d add to that actually is a sneaky little in is don’t forget to phone the parents of those kids who you want picking computing.Don’t forget to, to coax those option pickers. 

Alan: Well, absolutely. And the girls as well. This is another opportunity because one of the biggest issues stopping girls from taking the subject is self belief, self efficacy, believing that they belong in computer science classroom.

So the more often you can say it to them and to their families, the better. So. Definitely do that. And postcards home at the end of term as well was always a good one. And it doesn’t take very long. And it just spreads a bit of joy. And like I say, it makes everyone happy, makes them more likely to take the subject.
 

One thing we haven’t talked a lot about AI, just very briefly, you can use large language model chatbots to create multiple choice questions, which is something I’ve done before you can do it to plan lessons, but I’m not like when we talked about planning lessons earlier, there’s a lot on the shelf that you can adapt, so, I’m not a big fan of AI lesson planning at the moment, but there’s, A lot of talk about using AI to write reports, to send reports home.

And this is the one that I think is a little bit, I’m not a big fan of AI writing to parents on my behalf based on some data cause it feels like we’re automating. A job that shouldn’t exist in the first place. Do your schools write reports, still send reports home. I’ve worked in schools where reports aren’t a thing anymore.

Dave C: So we report four times a year, but we don’t do written reports per subject. Ours is mainly given like an attitude to learning their predicted grade, their current operational grade and then we’re encouraged to open dialogue. with parents and stuff. So if they want to get in touch again, we want to promote that open back and forth transparent kind of conversation whereby if you want to know some more, that’s fine.

Again, we’re trying to get them to encourage and turn up at parents evenings where we can see them face to face and have them really deep conversations about how their student’s doing in a subject. 

Alan: Yeah. my take on it is if you’re going to start with some data, like, assessment, attainment data and attitude to learning data and whether they’ve done the homework number of times or whatever, and you’ve got that raw data why don’t you just send me that?

I don’t want you making up using a large language model to turn those into long winded sentences. Just send me that data . I don’t really need, like, a big paragraph written by a chatbot. It just seems like an odd thing to automate. 

Andy: I don’t ever think we got reporting right. Really, as a profession in terms of workload balance versus useful information to parents. let’s say the quiet thing out loud at Key Stage 3, any data that we put in for a kid at Key Stage 3, if we see them once a week, which is the optimum, the maximum, it’s an absolute ballpark figure. It is so abstract as to be meaningless, especially if you’re reporting in that first term.

Alan: I had this conversation, I had this conversation with Craig Sargent, I think, Dave, Craig and Dave. You know what I did there? I thought, was it Dave or was it Craig? Which is like, happens a lot. And 

Andy: Does one of them always stand on the left?

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Alan: Oh, yeah, well, I had had all this data at the school I was working at and I put it in and then the head of faculty came to see me and said, Oh, your data is roughly a grade lower than science and math. And he went, that’s all right, I’ll just bump it all up a grade.

And the assistant head was like, What? You can’t do that. Surely this is an accurate position. No, it’s just a number, it’s just a formula and I’ve probably got it wrong if it’s a grade out from maths and science. 

And there’s this fallacy, isn’t there? There’s this fiction that we can accurately measure progress at year seven, eight, nine, ten and say, what fraction of a GCSE have they achieved at this point? And it’s just a nonsense. 

Becci: I think that’s one of those things, isn’t it? when levels went all those years ago, and we used to do your 3A, 3B, oh God, it was awful, wasn’t it? And I think that went and for such a long time, everyone was like scrabbling with what do we do? And we had that life after levels conversation, didn’t we? I think the idea of like giving a kid a number in key stage three as to where they’re working at is absolute garbage.

And I think some schools have adopted that kind of flight path approach of where they are, they’re not, they’re below where they are or they’re above where they are. It’s absolutely fine. In the day that’s what the parents want to know. 

Alan: Yeah, so are they… 

Andy: even the idea that if they are here in year eight, they will get to there on a nice straight line by the end of year 11. Because if you look at the large data set, then by and large, it works. But if you look at individuals, they’re all over the show. Can’t remember who did some analysis a few years ago about the fact that kids with the one particular flight path or whatever the nonsense it was in key stage three, very rarely ended up at the end of that line they ended up somewhere else but some other kid from another flight path ended up on that one so it all evened out good god even the 3a and 3b but it was let’s create the illusion of more precision 

Alan: yeah i got in a bit of trouble There was a meeting. Do you remember CAGS? Remember Center Assessed Grades in 2020? And the exam board scrabbled to produce grade descriptors for grades one, two, three, four, five, six, seven, eight, nine. And the difference between like grade five and grade six would be explain turned into justify. And, And they did all of this because the government insisted they do.

And then they tried to defend it in meetings. And I said, basically I’m just gonna. Test them and rank them and loads of teachers were saying I’m gonna judge my kids I’m gonna get all this data and judge my kids against these grade descriptors and I’m going I don’t know how you’re gonna do that If between five and six, it just turns explaining to justify, they’re just made up 

Becci: The way that I did it with my students was Before we’d even been asked for CAGs, we’d done the mocks, and at that point we’d done the data reporting for the year 11s, and it was, this is what grade you got in the mock, this is where I predict you’re going to be by the end of the year.

And then when it came to CAGs, I just went, well, I’ll just use them, because that’s what I’d predicted, and I can’t imagine Do you know what I mean? That was my prediction before we had to do CAGs. So why would my prediction change because we’ve got CAGs and not exams? Well, it’s not going to. 

Alan: No, absolutely.

Andy: But if you’re talking about work, if you’re talking about workload, Alan, this is exactly the sort of thing I was talking about at the start, because it is just this sort of bullshit task that makes people leave the profession. 

Becci: Yeah. Yeah. 

Alan: So we are all heads of department or ex heads of department we have an influence on the workload of our team. If we have a team, what can we do in terms of. Organizing the team we talked about feedback policies.

Becci: That’s a big one. We talked about behavior. That’s a big one, but then there’s just organizing the team, sharing information, running meetings and so on. What can we do that is efficient and effective in that space? think the important one is not having meetings for meetings sake. 

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Alan: Yeah. 

Becci: Like it’s the biggest bugbear in schools where you’ll have like, some schools do a morning briefing. Just send an email and insist people read their emails. Or there’ll be a morning briefing and they’ll tell you the exact same thing they’ve already sent in an email, which I read. So I think if you are head of department, just making sure that if you’re having a meeting, you know exactly why you’re having a meeting and if it’s because you’ve got department time allocated to you. If you don’t need a meeting, use it for something else productive, whether that’s CPD, whether that’s, some co- planning or whatever it might be, and not just having a meeting for meetings sake.

Alan: Always send a weekly bulletin. So that’s one way of reducing emails and reducing meetings is gather everything into a weekly bulletin and hope they read that. Sorry, Dave, I interrupted. Go on. 

Dave C: That’s okay. I completely agree. a meeting should be because it’s needed, not because it’s scheduled our time is really valuable. And if we consider the other things that, draw and sap our time. For example this will be my second ECT that we’ve got going through the process and what comes with the new framework and those hoops. We’ve got to jump through especially the kind of prescribed diet they’ve got to do every single week.

We’ve got to take into account what we’re giving people to do and what can be done exactly like in email or a discussion in the corridor or something really simple rather than taking people’s time up or t aking time away from the things you really need to be doing.

Andy: Yeah We actually do have a whole staff briefing on a Friday. And I talked to the head about this. And as a result, the phrase, I’ve put this in an email already. If you’ve put it in an email, you’re not allowed to then re announce it. But I’ll actually, I mean, and some people might find this a bit cringy, but we use our Friday briefings now as just a sort of almost a gratitude event, it’s to say thank you to people and it’s five or ten minutes for the whole staff to get together and give shout outs to people who’ve gone above and beyond or really helped them out that week or just done the job and done it well. And it feels really like, oh God, no, but it’s really nice. Because I’d much rather be in a place that does that than a place that never acknowledges you. 

Dave C: Absolutely. 

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Alan: And that’s, again, that’s not a meeting for a meeting’s sake. There’s a point to that, and it is to build teamwork and community and to thank people. And I think that is very valuable. One thing I did just on that, which is more a well being thing than a workload thing, but I read a book by Abigail Mann and one of the ideas was well being buddies. So, I don’t know if you’ve ever heard of elfing at Christmas, where you’re given, it’s like secret Santa. But instead of a gift, you do kind things like you might leave chocolate on the desk or tidy the classroom after a cover teacher’s been in and, and all of that.

So well being buddies. And so at the end of each term, not the last week of term, cause that was usually a bit frantic, but usually the second last week of term, we do well being buddies. And I actually set up a Padlet wall. And so if your buddy had done something nice, you could take a picture and put it on the Padlet and say thank you to your buddy, but you didn’t know who it was.

So you’d come back from doing a duty in a rainy playground and there’d be like chocolate on your desk with a little note saying, I think you’re fab. And you take a picture and put it on the Padlet wall and said, Oh, my buddy’s left me my favorite chocolate. This isn’t this great. And so I love doing that. So I introduced that to the faculty, which was science and computing. And we did that for about three years, really. And it was great. 

Dave C: I think is it as a whole school thing. It’s really useful. I feel we’re really good at celebrating well being and that and similar to like Andy’s school and we have a Thursday morning celebration well being briefing where it’s a chance to talk about what we’re doing in our subjects will show off in terms of like events and stuff. We’ve done talk about cross curricular stuff, but will also nominate members of staff. He’s just gone. That little bit above and beyond the night, they all go on a wheel.

And then the principal is committed to every single week and someone gets chosen and they get a £30 Just Eat voucher in way of recognition. But immediately when you go into the drama theater, everyone’s looking on the board to see like who’s the names and the look around and little winks and nods and celebrating people.

And, ah well done you’ve been nominated. And then things like. Get an email, thank Crunchie, it’s Friday, and then sure enough in the staff trays, everyone’s got a little Crunchie bar. So little things is really important and a little goes a long way. 

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Alan: It is, yeah. Sweat the petty things. Don’t pet the sweaty things. Um, 

Andy: So yeah, I think well being is a big part of it. When you were talking about what we can we do as heads of department, so things like a centralized curriculum as a jumping off point. Definitely. One of the things I’ve done. Before is we have a team in Microsoft teams, and in that there’s a plug in and I can’t remember what it’s called, but it’s like a little post it notebook plug in. So, what we do is when we’re planning things and allocating tasks, we’ll put a post it on there with. The task and we’ll decompose it. So there’s sub tasks and everything like that. And we’ll allocate things to people and put dates on there. So people know that’s what they’ve got coming up and that’s what they’re working on. They don’t have to go hunting through a million emails, I remember in a conversation you had, it’s all on there.

And there was a column for The departmental meeting, so if people had stuff to add to the agenda, they stick a post it on there. And that for my workload, that’s great because I don’t have to remember things, write them down. We just add to that. And everybody’s got a say everybody’s got the buy in. Again, if you’re a subject lead, you should be going through with your department. The curriculum, your scheme of work, you should be identifying key pieces of work. This is the one we’re going to mark. This is the one we’re going to look at whole class feedback. So everybody knows those are the things and there’s no pressure to look at everything. Or you’re doing your verbal, you’re around looking over shoulders in classrooms, doing all of that anyway. 

I think for heads of department, things like observing and getting into classrooms is well worth the time, but doing that more effectively, if you’re doing a proper observation, meet with a member of staff beforehand: what are you working on? When in the lesson can I see that? And if it’s in the last 10 minutes, you go for the last 10 minutes. 

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If it’s a drop in, you don’t need to be there for the full lesson. You drop in until you see one thing that you can feedback on and give a concrete suggestion for improvement on. And that’s it. That’s all you need to do. People don’t need a list of millions of things. I dropped in, I saw this is my feedback on that. Let’s try this. When are you doing that next? When can I drop back in? 

Alan: Show lesson observations have to die, definitely, and culture of learning walks and drop ins is the way forward.

Andy: I think, yeah, just drop ins, open door, but being in people’s classrooms as a leader is vital. You need to be able to take the temperature and make sure that there’s students in your subjects are getting that experience, whoever the teacher is. And the culture of fear around lesson observations and punitive. If we can turn that around into be a culture of improvement, then, I’ve never met a teacher. It doesn’t want to get better. 

Dave C: Allow them to reciprocate as well. So making that really safe environment. So they can come into your classroom and see what you’re doing or the way you do things as well. It shouldn’t be a one way street. we observe ITTs and people in our department, but we should be learning from them and gaining their experience as well. 

Alan: There’s nothing more empowering to a developing teacher is to ask them into your lesson and ask them for what they think about your lesson. And even for developmental feedback, did you see anything that I could have done differently or better.

Andy: Come and watch me struggle on Thursday last unit last period with year nine because it’s hard at the best of times, even when you’re this many years in, but come and see what you can pick up from my way interact with these kids. Because I’ve painted a really rosy picture of how I manage my classes, but I can’t honestly say that it always works. And teaching’s hard, even if everything’s going right. So yeah, getting people back into your classroom, I absolutely agree with that. 

Alan: So, it’s that time again. one of the things I wanted to talk about is organization and, we talked about having meetings for meetings sake. The other thing is we need to finish meetings on time and respect everybody’s time.

And so, you can’t see this if you’re listening to the podcast, but my dogs come in and told me it’s time. This is Casper saying it’s time for a walk. So yeah, finish meetings on time, so on that note. I think I should say thank you so much to the panel today to Dave, Becci and Andy. You’ve been brilliant. This has been a great discussion. It’s been lovely to talk to you. I’m a bit behind in the editing of these podcasts. You might’ve noticed so, who knows when this will go out. . 

Becci: The only problem with these day jobs, isn’t it, is that we love them so much that we dedicate so much time to them that we never get to do the other bits. 

Alan: Well, I’m saying yes to everything at the minute it seems. So I’ve got all this extra work as well as my day jobs.

Andy: That is the irony. We’re recording the workload special. We’re recording the workload special on a Friday after work, aren’t we? ? 

Alan: Yeah. ’cause we didn’t have any time to fit it in anywhere else. That’s a good point. 

Dave C: Alan they are definitely worth the wait. I was mentioning to Becci before, like, I’m that person sat, with the podcast on. At the traffic lights laughing along with the dad jokes and again, I’ve said this privately, it’s been really well received, these podcasts and I think what you’re doing in terms of, encouraging the community and spreading the good word. Thank you because it’s, we’re really enjoying listening to it and I’m really happy to come on and give my bit for this session.

Alan: Thanks for those kind words, Dave. Yeah. I’m trying to hopefully I showed it today. I’m trying to talk less and listen more to my guests, but I don’t know if that’s coming across at all, er, haha but yeah, I’ll go and edit this one. If you’ve got any dad jokes, you want to chuck in let me know I’m running out. So, Right, guys. 
 

Andy: I love this because I remember talking to you and you were like, yeah, I’m going to get one out every week. And having done Learning Dust for 4 years, I was like, okay, let’s see how long that lasts. Yeah, 

Alan: that’s gonna, that’s gonna work. I’ll just get chat GPT to write a few jokes. Um, Yeah, I tried that. They’re rubbish. So, uh, right guys, it really is time to wrap up. So thanks very much And have a nice weekend. 

Becci: Have a good weekend everyone. 

Alan: Yeah 

Dave C: Cheers. 

Becci: Bye. 

Andy: See you later.

Alan: Well, that was a great episode. I’m sorry it’s so long. And don’t forget, I wrote the books, How to Teach Computer Science and How to Learn Computer Science available in online bookstores. And if you like the podcast, you’ll love hearing me in person. Visit httcs. online to find out more about my training and consultancy. And I could be speaking soon live at your school. 
 

Visit HTTCS. online, that’s the initials of how to teach computer science, for all the details., have a great weekend and I’ll catch you next time.

Categories
AI computing leadership podcast teaching and learning

Podcast Episode 10 – What is the Future of Education? Part 2.

This is the transcript of Series 1 Episode 10

Alan: Hello. And welcome to how to teach computer science, the podcast. This is episode 10, the long-awaited part two of my brilliant chat with David Morgan on the fertile question. What’s the future of education? 

 If you missed last week, firstly subscribe so you don’t miss another episode and tell your friends too, but you missed stuff like this. 

I don’t know if you’ve been listening to the podcast. I’ve been using various. 

David: Yeah. You enjoying it? Yeah. Yeah. I really am. Like it’s really nice to have a podcast from someone who knows what they’re talking about and he’s a computer scientist as well. 

Alan: I’ll get onto part two in a moment, but you will remember last time I accepted Dave’s challenge to create a tutor bot that was at least as good as CS50.ai from Harvard. We met last week and hosted a live AI teacher lab. And made a Python programming tutor bot in 10 minutes. Have a look at mindjoy.com For how you can do the same. 

My name is Alan Harrison, and I wrote the books how to teach computer science and how to learn computer science available in online bookstores, I’m available for conferences, inset days and bespoke training. Just visit HTTCS dot online. And I could be speaking at your school next week.

 So we’re talking about AI again today. And after my tutor bot experience, I can say with confidence that AI particularly large language models have a big role to play in education, or to put it another way. 

What do we want? 

When do we want them? 

That’s right. 

. Shush. That’s right. LLMs, notoriously. Forget what you said to them. Just seconds earlier, which is probably why I get on so well with them, me and my short attention. 

Sorry, there was a squirrel out the window. 

quiet password 17 hash exclamation mark poop emoji!, what was I saying? Oh, yes. Short attention span. My wife complains about it. Just the other day, she said you haven’t been listening to a word. I said, have you? I thought that’s a strange way to start a conversation. My 19 year old son, who’s off at university. These days. 

And I have reached that stage in our relationship where we just trade funny memes and internet stupidity on WhatsApp. And recently we’ve been chuckling at LLM fails. Here’s what Google search returned when someone who wanted to take in a rescued reptile. Asked the question. How do I adopt a bearded dragon? 

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Alan: So let’s get back to my interview with the lesson hacker also known as another day from Craig and Dave’s YouTube channel. 

Last time I paused the conversation just as we were talking about careers.

David: Well. I used to apply for schools with a CV. Which was very colorful, which was very graphic design y, which had jokes in it, which had a silly picture of me pulling a face. And I would do that because I know that teachers where everyone’s poo faced and are very serious about things aren’t schools for me.

So teach, like anybody that would get that CV in a bundle of an application and go, Bring this guy in, let’s see what we want to talk to him about. That’s a school for me and that did me very well in my career. It’s a good 

Alan: message. To be honest, as a computer science teacher, we are in a privileged position in which we are much in demand and we can probably work anywhere.

So that’s going to work for us, where it might not work for an art teacher, ironically. Because the art teacher is often more likely to have the piercings and the nail polish and so on. But but yeah, use your, use your privilege computing teachers. You are much in demand and if you’re not enjoying where you are and you can’t be yourself in the classroom, have a look around.

David: Yeah. And I, I genuinely think that there are things about a school that speak to you as an individual and I, as an individual. Do not like being micromanaged. I do not like rules that can’t be backed up and justified. I do not like inconsistency. So I like the ability to go into a school where the ethos is about teaching and learning.

What, like one of the, one of the first schools where I was head of department was a school called John Cabot Academy. And this has got to be about 15 years ago now, but I joined it. And it was such a revelation for me because their school motto is was learners leading learning. 

Learners leading learning as a concept at the time was very forward thinking. And what it meant was any decision, any decision at all was filtered through that lens, even to the point where if a decision was coming down to a we’re not really sure, we’re not really sure. students would get involved.

Lead the learning. Where do you want to go with this? What do you want to happen? And what it did lead to is a lot of freedom of expression as a teacher. If my students wanted to go in a certain direction, I could. I remember one, one, one day, just like my students wanted to explore something. So I marched them all down to the canteen where they were having new tills fitted. We, we were like, Just watching the guys fit it and taking notes and going, what’s that? What’s that? What’s that? I’m sure we annoyed the poor guys to death,  but there was no, 

David: Nobody came and tuttered at me afterwards. Like the head will pass. It was like, Oh, what are you doing? And I was like, Oh, they’re fitting this stuff.

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This is a great learning opportunity. Oh yeah. Yeah. That’s great. And the students wanted to go and see what it was. So we, it’s just silly things like that. Schools that live their values. I feel like it’s much more of a better place than me. So I understand. And there’s always a situation where, you know.

You’ve got other things, you’ve got, you’ve got childcare to be concerned about, you’ve got an existing reputation in the school that you’ve already got, but you are right. As STEM teachers, and especially as computer science teachers, especially in England, if you are not happy where you are because the ethos of the school doesn’t fit you as a teacher, there are other schools.

And Feel free to look around, feel free to shop around because the demand for us is high. I mean, honestly, the last teaching job I got, I was offered the job before the interview finished. They were so keen to have a decent computer science teacher in the school, but it’s such a, such a, such a weird situation for computer science teachers.

We can be a bit more choosy. And as you said, we do have a bit of a privilege, but it’s the same is true for science teachers. The same is true for a lot of the mathematicians. And the other 

Alan: thing, the other thing we can do as you proved on your latest video for Craig and Dave, is that you can, we’re computer science teachers, we can deepfake ourselves and send our AIs into the classroom to teach for us, can’t we?
And which art teacher could do that? 

David: I, I genuinely, what I, one of the things I loved about one of my previous schools was, We had an internal group of just people that were really nerdy about teaching and learning. And we were forever, because I was part of it, I was like, Oh, have you seen this deep fake thing?

Or have you seen this? Let’s try this. Let’s try that. And it pushed the technology forward in the school. So I don’t think there’s anything wrong with, with being excited and nerdy and helping out that art teacher to do those things. But if I can just pick up on that, because that was a really fun video to do actually, because I like, I’ve seen this technology work.

I didn’t realize how ridiculously fast and easy this stuff was to do. If you’ve not seen the video, not only did I replicate my entire voice, so I didn’t speak for the video, I just put my script in. It was honestly the easiest video I’ve ever done. Put my script in. I think I trained the AI with about a minute or two of my audio.

And then downloaded the MP3 and then just sat there pulling faces whilst the thing was playing. But the other fun thing I did was I took, I just literally downloaded one of the videos where Craig was talking, one of the videos where Dave was talking, fed that into it and got a reasonably good approximation of their audio.

And then did the same with video of them and had them saying beautiful things about my wonderful head of hair. It’s, it’s, but, but then, then my brain, my brain, again, this is why I’m a broken person, I think, because my brain goes, how can I use this in the classroom to think of all the lists of things I could do?

And I’m like, Oh, how good, how good would this be for like an English teacher? I’ve got, we’ve just watched Macbeth with some very famous actors and actresses, and suddenly. I’ve got a deepfake Lady Macbeth talking through the motivations she’s got for this scene. Yeah. Or, or, I’m a history teacher and they’re really struggling with aspects of twenties and thirties Soviet Russia type thing in the Russian revolution. Because from history just brought to life 

Alan: instantly. Yeah, I remember when I was training to teach almost my first lesson I was in a school and there was a trainee RE teacher, religious education teacher, at the same time in the same school. And And he was planning for his first lesson.

And it was the first lesson about Buddhism he was going to teach. So He he started off the lesson and he said, I’ve got a special guest and he went out and dressed as the Buddha and came back in and said, what do you want to ask me? So he was the Buddha and they asked the Buddha questions and then he went back and took all his robes off and came back in and said, I missed it. Who was the special guest? And it was all there. So that lesson, I saw him planning it for like two weeks and literally going and renting costumes and, and yeah, I mean, we can laugh about what teacher training used to be like, and you would plan lessons for like weeks and you go, and they go wrong and you go, oh, what can I do next?

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David: I used to get told off for that because I didn’t, right? I’m, Because again, my brain works in a very different way, I think sometimes. So like I’d be everyone else would be like, Oh, I spent all night planning this lesson out and I was like, I’ve got my bullet points down. I don’t know what else I built. What else do you want? I’m just going to talk, but 

Alan: I mean, that’s where everyone ends up, but I think it. I think teacher training is supposed to be a bit like, what Churchill said, on the battlefield plans are useless, but planning is everything. So you’ve got to plan in the first place, even if your plans fall apart, because then you’ll know what to do when they do fall apart.

And I think that’s the principle. Coming back to relating this back to computing, he doesn’t need to do that now. He doesn’t need to go out and dress up and come back in. It just needs, you know, an AI. 

David: We destroyed the costume rental industry with AI, what a terrible thing. It’s not your job you need to worry about, it’s the entire costume rental for teachers sector that we need to be concerned about.

Alan: Absolutely, yeah, all these worries about jobs and we’re worrying about the wrong jobs. I’m talking of which artists are a bit Bit miffed at the minute and all the AI art and then, oh, Facebook is now just swamped with all these ridiculous AI art pictures for clickbait likes. 

I don’t know if anyone’s noticed the, I’m 150. I made this cake and I’m, I’m looking for your likes and the like farming pages aren’t they? These are Facebook pages that have been set up and they Just to, get people liking and following their pages and what they’ll do after a year of this nonsense is they’ll flip and sell the page to a scammer, a virus seller, or, phishing scammer. And so these Facebook pages, there’s thousands of them, but they all, the AI art pages, and there’s like this kid who’s supposed to be like eight and all, I’ve made this picture of a dog out of, of recycled bottles.

And he’s the poor kid’s got 12 fingers and seven toes. You look closely and it’s clearly AI generated with all the problems that, that that they have. But loads of people are going, Oh, this is brilliant. Well done. You’re a, you’re a clever young man and all of that. And all those people are going to get scammed in a year from now when that page is turned over to phishing scammers.

That’s what’s happening. I wanted to say some. I saw on threads probably an AI cartoon and I laughed at it. I didn’t know it was AI at first. It was hilarious. It’s a picture, a scene. There’s a woman in a restaurant on a date, obviously, and she’s saying, I like bad boys and opposite her across the table. is a Labrador saying, this isn’t going to go well for you, Janet.

If you are grateful for my blog, please buy my books here or buy me a coffee at ko-fi.com/mraharrisoncs, thanks!

But then you look closely and the Labrador’s got two tails, one of which protrudes through the chair. You look closely and the woman’s legs are hidden by the tablecloth, but her feet come out about four foot ahead of her body. And so she would have a four foot long thigh bone if it was real and stuff.

But I laughed and then I thought, that’s unethical because some cartoonist. Could have drawn that and then this is an AI recreation. But anyway, I still laughed. So, is AI gonna kill art? Is it gonna take, is it gonna take the jobs that we actually enjoy doing, leaving us to do all the drudgery? ? 

David: I, I, I like, I very much believe that AI is an augmenting tool and not a replacement tool.

I think with anything, the first thing people do is they try to cut costs by. Removing people from the equation. So I’ll give you a good example of this, right? Is that this was about 10 years ago, one of the big American newspapers sacked all their photography staff and only used photos from people with smartphones.

Because they were like, smartphone cameras are so good now, we don’t need photographers. Turns out, people smartphones ain’t exactly art history. So it was like, The quality of photos went down, and within a couple of months, they were hiring people back on board. And I think we’ll see the same thing with AI art, and the creative fields, unfortunately, where they’ve been hit first, because creative, what AI does, is it scales up processes that until now have been lengthy.

So the main area where it affects us as teachers is in writing. And so one of the things that I think AI tutors are very good for is for giving instant marking feedback and iterative improvement. I don’t mean the final mark, they can still, have interesting times, but one of the things I think is really special is you give a student a question, and you give the AI the mark scheme, and you give it a bunch of pointers.

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And the AI can say, okay, so you’ve answered this, but you got about two out of four, and these are the bits you missed. You want to try again? And those sort of exam lessons where the student can iterate on it are very, very quick. Instead of being those slow lessons where you’re waiting for an entire room to try something, you’re picking on a few people.

And I think those sort of lessons are necessary, but they are difficult to maintain the pace with. Everybody. AI means that everyone gets that instant feedback and it’s very, very much more interactive. But what it also does is it speeds up that written work. It speeds up the work of idea to an image. It speeds up eventually, very soon, the idea of idea to video.

The problem is, is everything you’ve said. These have been trained on things. They have weird artifacts. They hallucinate stuff like dogs having two, three tails and human fingers and stuff that would freak you out. But for a cursory glance, they’re okay. I think we’re going to see a situation in the creative fields, especially of maybe six months of people trying to use these things, realizing the limitations, because people like me and you, people that are interested in technology, we already understand what the limitations are.

We think it’s amusing when we see the artifacts of AI in everyday life, and we go, Oh, that’s terrible, isn’t it? I wonder how they’ve got this. Oh, isn’t this an ethical dilemma? But to the person doing it, they’ve gone, boop, boop, boop, cartoon app. And it’s only when there starts to be a pushback against that culturally, which is starting already, is when you You know, you’ve had the, the actors and the writers strikes.

We’re having a big pushback now on a as we’re filming, this is a big pushback on a film called Late Night with the Devil for having generated some of the art used in the, in the film with AI. And it’s very, very badly there, there are lots of artifacts. I enjoy making AI art.

From, I, I spent a bit of time on the weekend actually I’ve always wanted a series of posters on women in computer science because again, I know that Anna Wade talked a couple of weeks ago about the issues of tokenism as a girl in a computer science room, and as somebody that was, raised male, I don’t, I don’t have the the wealth of experience to be able to Properly create a lesson that ticks the box of every female in my class, but then who would?

If I was, if I was born female, I wouldn’t. I can’t tick the box of every male in my class. Part of that’s I don’t, I hate sports, so I have no interest and can’t do those analogies, aI is very good at being able to go okay, Here’s my lesson, here’s my instructions. Just ask the student what they like and build the examples around that.

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It’s very good at helping with the contextualization and not making it tokenistic. But I like making AI art. I spent the weekend making my, my women with AI posters and what I love about it, what I think is fascinating is I start off with, with Grace, Grace Hopper, right? Very, very famous, famous person, lots of photographic reference, boosh, get to likeness, boosh.

Perfect on the first try. And I’m just fiddling with style. Then I go, okay, I’ll do, I’ll do Ada, Ada Lovelace, Ada Byron Lovelace. Okay. Not, not quite as good, but then there’s only drawings of it. There’s a couple of them, like they’re very iconic in computer science land and they’ve clearly been trained on it.

And then I’m going through lesser known figures from the Apollo missions to modern day stuff. And oh my God, at one point it’s just like generic lady with glasses. And I’m like, This person isn’t even the right race. You’re just making things up now. So you like, like the, the thing is, it is trained on information.

The more information there is, the better it will be at doing it, just like a human would be. But the less information is, the worse it is. And one of my favorite things about the weekend was I generated, I was messing about and trying to generate and have a consistent character across images. So I’d got, I got a character and I was like, Oh, What scenarios can I put them in?

And I’m a big Star Trek nerd, right? So I was like, Oh, I’d love to see this character dressed like Captain Kirk. She’s, she’s, my prompt was like, she’s in the middle of a battle, phases out, dressed like Captain Kirk, putting in phrases like beam me up Scotty and stuff to give it the context it needs.

Boosh! It comes out in the uniform from Star Trek Discovery. And I’m like, That’s weird. So I really try, really try, and I spent hours trying to get it to be in like this, and this is a very nerdy thing, I’m sorry, but I’m spending hours trying to get it to come in the original series uniform, and it’s not happening.

And I realize what’s happened. I realize that what they’ve done is because Discovery is filmed in 4k and it’s very modern, they’ve just trained the AI on probably every frame of every episode of Star Trek Discovery. And because Star Trek was filmed in the 60s and isn’t HD, there are probably far less images in that set.

So when I say Star Trek, I’m priming it to use the most consistent thing in its database. And just know, like me as a computer scientist, I’m going, Oh, I can see through the matrix. I can see what’s happening. This is an exciting thing for me. So I can see the limitations. I hit the limitations all the time.

I think the technology as an augmentation tool and like for creative people, it’s ideal. If you’re like, I’ve got some ideas, push, push, push. Here’s a couple to start with. Okay. I can iterate on these few here and I can get something that I can make myself. I think it’s a beautiful tool. I think people are using it as a replacement for those people at the moment.

But I think, give it two more months of people being like, why is this person got eight fingers and four and, and, and their hair is just different colors and coming out. People don’t sit like that. When people get to that point with everyday stuff, like it was outcry. There was that cry last week about the BBC using AI to generate copy for tweets, I think, for Doctor Who adverts.

And rightly so. If you don’t prompt an AI properly, it writes absolute nonsense. One of the things we spent a while on in Mindjoy is just getting it to talk like a person and not give all this random I do think AI is like that really clever kid in your class that doesn’t have any life experience, but likes to use big words. And you’re like, Dude like, yes, but Calm it down. 

Alan: I’ve got so many thoughts triggered by that, which is great. And just coming back to when you said you see through the matrix, this triggered a thought about a conversation I had on the CAS AI forum, and that’s a good place to go for a few chats with computing teachers about AI, and And we were discussing how it might change programming and I realized something that I posted on there and then a few months later, Jane Waite, the brilliant Jane Waite, came up with the same idea and I went, yeah, I’m glad you see this as well.

Prompt engineering, as it’s become known, is a kind of another form of programming just at a much higher level. What you need to do to be able to be a good programmer is to have a good understanding of the notional machine. You have to have a good notional machine in your head, as in an understanding of what’s happening below your code.

And so what you said there about getting the prompt to do, to make the AI to do what you want, and then working out why it wasn’t doing what you want is Grasping the notional machine underneath, and that’s what we need to do to use AI effectively, is to get that notional machine in your head, know how it’s going to respond to prompts, in the same way that we need to know how a computer that runs Python is going to respond to the Python code that we write. It’s getting that notional machine in your head, and so there’s just notional machine down there that we need to get in our heads so that we can prompt it properly. 

David: I think, I’ve been teaching this for years, but I always forget which generation of programming language we claim we’re on. I think we’re on third 

generation.

Alan: Oh, I don’t know. I, when I worked in industry in the 90s, I was told I was using fourth generation programming languages. 

David: Like, wherever we are, wherever we are, Wherever else the baseline, let’s call it third because that’s what my brain is working at. Let’s say that everything we do at the moment is third.

I genuinely believe that AI is fourth generational programming languages because, it is not just about understanding how the code behaves and interacts. It’s also about understanding about how the system is trained and how the system is prompted and the biases of the machine. And I think that like where AI is being used to supercharge coding.

is great. Unfortunately, it’s ruined a bunch of our programming tools. I’m not naming any names because I used to work for them. But AI certainly has ruined some of our best programming tools for learners because what it’s very good at doing is suggesting straightforward code. And unfortunately, when you’re learning programming for the first time, a lot of what you’re learning is straightforward code.

What it’s very difficult to, what it doesn’t understand is the more complex ideas, but you can prompt around that. You can. Introduce concepts at certain points. You can re explain why things are important. My favorite thing from the workshops that we do at Mindjoy is when I teach teachers about how to really tell a bot to do something.

Because we, we go through a process of saying, right, okay, tell it to speak in British English. Okay, cool. Oh, it’s not. It’s this chat. It’s decided it’s an American. Why, why is that? Because AI has been trained on the entire corpus of the internet. What do people do on the internet when they really want you to do something?

They shout at you in caps. So if you want an AI to really do something, you shouted it in caps. And suddenly you’ve got all these teachers going, I don’t believe this works. And there’s even another step past that, which is AI a very very susceptible to emotional manipulation. It is very, it is very easy to say to an AI, Oh, my Nan’s sick, please do this.

Cause she would love to see the result and it’ll go, Oh, sure. Here we are. I’ll try even harder to give you the answer. And if you look at some of the prompts for the stuff, like some of my more complicated bots, you’d be like, what is this nonsense? Cause I’m like, yeah, it’s really important that when you grade this, like I did, I did one for a for a computer science written question.

Right. And I said, I was like, it was, it was marking it. And it was always going Oh, you did really well. No matter if they said, Oh, this is faster. This is quicker. This is, the things we don’t accept in computer science, because yeah, that’s true for everything. So I prompted it to say, don’t accept things like this.

And occasionally it would still accept them. So I was like, all right. My dog’s sick. My dog would not allow you to answer this properly. Please respect my dog. Boosh. Every time it was getting it right. Such a, like the the weirdness, all these like weird aspects of how you can use psychological techniques to prompt it and prime it.

I think are fascinating. And I think our formal programming language in itself. 

Alan: Yeah, and I read about ChatGPT particularly having a massive sycophancy bias. That means it wants to agree with you, which is a very easy way to get it to talk nonsense and lie and make stuff up. And I’ve got a famous chat about it.

Put on my blog, I think, which was where I got it to to lie about palindromes and stuff. It’s hilarious. I’ve seen that one. Yeah, that is really good. Did you see? Yeah. So, dog is my favorite palindrome. Why is it a palindrome? So I’ve already prompted it to agree with me. And ChatGPT went, dog is a palindrome because it’s spelt the same forwards and backwards. Dog forwards is dog, dog backwards is God. Do you want me to help you with anything else? Dude. 

David: Well, Like my, the interesting thing to me about like the, and I say this all the time, is that ChatGPT is the blunt instrument. They have done amazing work. I will never take anything away from the people at OpenAI.

They have, Absolutely genuinely changed the world and I think every time they bring out a new model more is possible. I’ll just give you a little example of that. So much more is possible in software now than it ever was. The other day we were talking about how do we get our AI to pronounce these maths equations in a sensible way.

We were looking online, is there like an ISO standard? Is there a, is there a way to pronounce maths equations? Is there like a guidance for it? And there’s a bunch of stuff on the internet, but, but, most of it is just you just read it and people have different biases to how they’d say it.

So there’s no one source of truth. So two years ago. That would have been a software startup of its own. That would have been a year of my life building a product that I could sell to use an API, that you would give it a maths equation, and I would give you a phonetic pronunciation back that you could use elsewhere.

We were discussing this for about half an hour and suddenly went, Will OpenAI do this? Yes, it did. There we go. It’s problem solved. An entire year of a software startup in a second, but I, I’ll never take anything away from them, what they’ve done, but what they’ve built is a very blunt tool.

And ChatGPT and OpenAI is not good for education, full stop. And we saw that some research came out about this, this week, actually, that the, and I’ve been saying this for a while, all the initial research about AI in schools will be very negative because the only thing they’re testing is ChatGPT. ChatGPT will agree with you.

It’s a sycophant. ChatGPT will give the answer because it wants to please. Like we did, we’ve done a lot of work at Mindjoy at making teachers more Socratic, making the AI behave like a teacher and not just go, yes, here’s the answer, thank you, and actually question the student. And I think that’s so important is that if you use any AI in your classroom, Don’t give ChatGPT as a tool to students and expect them to use it in any way as a blunt tool for answering questions.

It is never going to be at the point where you can use it like a tutor, you can use it like a teacher, because it is too blunt. It is an amazing resource. But half of the skill in using AI is prompting, understanding that, let’s call it the fourth generational programming level, but understanding that, how it works, how it’s what to do if it answers in a weird way, how to work around certain issues, all that is what we probably need to start developing as teachers if we want to bring AI into our classroom.

Because it’s a massively empowering tool, but the blunt instrument, okay, let me give a good comparison, right? The internet’s amazing, but you don’t just go, there you go, you’re seven, you’ve got complete and total access to the open internet. Oh, I’m pretty sure I did. Like, We all did it back in the day before it was, before we suddenly went, oh, there’s loads of stuff on here, oh good god. But yeah, my favourite thing. There, I’ve finished a worksheet, yay! My, my favourite thing. My favorite thing in the world was I don’t know if you remember the way the free Repl. it account used to work, is that if you went to your profile, you could see all the work you’d done because that was their like monetization model.

You could see everything if it was free, but if you paid, you could hide everything. The amount of teachers that I used to talk to where they were like, Oh, I’m going to And the students just did all the work in a second because they went to my profile and found all the answers. I’m like, yeah, that’s, that’s what the internet is doing.

The internet is just this open resource, but like we don’t anymore sit a, like we don’t sit a five year old down in front of the open internet and be like. We’re done. That’s education for you. See ya. We teach them and we teach them how to use it, how to access. We’ve got all this e safety. Kids are bored of the same e safety presentations year after year after year.

They are because we’re doing a good job at communicating what’s, what’s bad, what’s dangerous about it. We do a good job at saying what the internet’s for. They spend a lot of time on it. It’s a great tool, but now we’ve worked out how to do that. We’re at that early point with AI where people are going, do I give them AI or do I ban it?

And that’s not, that’s not the spectrum. That’s not the spectrum at all. The spectrum is, do I give them the blunt tool? Do I give them the fire hose of everything and they just get the answers? Do I give them some of the tools in the middle that are a little bit more student friendly, that are a bit more built for schools, or do I ban it completely?

And I think if you ban it completely, you’re disadvantaging your students for any potential future, because yes, you ban it completely. You don’t get those problems in school. But they’re using it to do homework. They’re not using it to ideate in class and discuss things with you. But that’s what it’s really good for.

Like you talked with Andy Coley a couple of weeks ago about like the importance of having a consistency in the pedagogical styles in your classroom. Like the baseline of what you, of what you do is great. And I think the example you used was I think it might have been think pair share or something similar.

But think pair share It’s a great conceptual idea, but there are things that make it fall down, and one of the issues is think. If the student doesn’t have the appropriate knowledge to think about it, then when they start pairing, they don’t contribute much to the discussion, and when they share, they’re still fragments of issues.

And granted, they’re all primed to answer, and they’re all like more engaged than they would be if you just pointed somebody and go, Johnny, what’s the answer? So it’s a better pedagogical style, but there are still issues with it. With AI, You can have, think with the AI, so you can have, they can have a conversation back and forth.

They can fill gaps in their knowledge. So when they pair, They have better conversations and when they share, they share much better concepts. And I think that the extensibility of what this technology is, if used right, is worth it in the classroom. And certainly, schools that ban it are going to have a bad time.

Schools that give just access to ChatGPT and Go Go Crazy are going to have a bad time. It’s somewhere in between.

Alan: absolutely. 

David: Part of the job of teaching is knowing your learners and knowing how to give that information in an interesting way. I’ll give you, I’ll give you a great example, right? One of the teachers in my workshop was talking to me the other day about the fact that he had a class and they were Boys, they were very into football and he was finding it very hard to engage with them.

And I was like okay then, so we’ll make the, so your bot is interested in football. It’ll give football analogies. It’ll, it’ll give football examples in the code. And that, that worked initially. And then he came back to me and went, the problem is that they, they always start asking stupid questions about who’s the best footballer.

And he’s they’re always saying, who is it? So Messi or Ronaldo. Now this teacher being the same age as me would always, his, his joke was, Oh no, no, Paul Scholes is the ultimate footballer. Shut up, get on with your work. Right. So we just put that into the prompt. So now that when the kid asks the bot, who do you think is the best footballer?

It doesn’t just go, I don’t answer those questions because I’m a bot. And it goes, Oh, it’s Paul Scholes, get on with the work. And the kids like, Oh, I’m engaged with this bot. This bot has my teacher’s personality. I get it. I’m with this bot. I’ll ask it more questions. I’ll have more of a dialogue. Very good. 

Alan: I’ll get on a call with you after this, probably after Easter now, because I’m going to go and have some quality time with the family this weekend, up in Northumberland. I don’t know if you can tell, but that’s where I’m from. I’ve got vaguely 

David: I’m surprised. I mean, you can’t tell I’m Welsh, can you?

Alan: No. I’ve got a mixed up northern accent these days, but I’m going up to the Northumberland coast, which is the most beautiful, most beautiful coast in the United Kingdom, but don’t tell everybody because we don’t want everyone to come. But yes, after Easter, I will take you up on your offer and we’ll build a bot together. And have some fun. 

David: Talking of fun. What I will say is, is in May, we are having a computer science themed month at Mindjoy. So, I will, like workshops will be all based on computer science. Like what we’re pushing out will be based around computer science, which is great because I know computer scientists, so that’s, that’s a bit of fun. 

Alan: But like, where can we find out, where can we find out more about those workshops, Dave?

David: This is actually set up well, mindjoy. com, MINDJOY. COM is where you’ll find all the workshops and all the stuff we’re doing with AI. But genuinely, like I, I know that I’ve gone on about AI a lot this episode, and we have gone. Very long, my friend, which I, because we’ve been enjoying ourselves, I think.

Alan: This is going to be a fun edit. I’m going to get AI to edit this. Do you know what I’ll do? I’ll just take the transcript, I’ll put it into ChatGPT, and I’ll go, Summarize this transcript, and then I’ll get it to speak it out. And then I’ll put that on the podcast. 

David: There’ll be lots of square brackets, “[Dave gets very excited]”.

Yeah, there’ll be lots of that. But yeah. Mine don’t look nice. Mindyou. com for anything that we’re doing with AI. And genuinely, if you haven’t brought it into your classroom yet, this is a nice student friendly way of doing it. And you are, you’re in control. That thing that I keep talking about, you can prompt it, you can get exactly what you want.

And I’ll just give you one brilliant example that I’ve not mentioned that always brings a smile to people’s faces. The last school I was working at, we had asylum seekers arrive and there was, they had no English and they’d clearly been in the school all day. just struggling and it’s a new place.

It’s scary. It’s worrying. They haven’t done any work all day because they haven’t been able to communicate with the teachers, but they need to be there. I took the bot that I was using for my lesson and in English wrote in the prompt, speak in Arabic, save. Give the bot to the student. He did the work in the lesson.

He was so happy. He was beaming. I couldn’t tell you what he said, but he was clearly happy. And the work was done and the work was there. So much so, the next day I was called up by the deputy head. Can we, can we get something done? for these students, for the whole school. It is, it is such a revelation that you can just tweak something in a second that can make such an impact on a person’s day.

And honestly, I’d encourage you if you’ve not attempted AI in the classroom, it’s not about worksheet generation. It’s not about a cookie cutter approach. It’s about getting a skill that can help you help your students and enhance what you do. Because that’s what it is. We become the 10x teacher, we become better teachers because of it.

And that’s the future for us in education, I think. 

Alan: Absolutely, you mentioned differentiation earlier, that horrible D word of the early days of my teaching career and how I had to basically create three lessons or seven lessons or ten different lessons for all of the different characteristics of the pupils in my class.

I’m glad we don’t do that now, but What we try to do is adaptive teaching, but I think, I think have the same goal in mind, but have scaffolds to get there and adapt your teaching methods to suit the pupils in the class and try and support each of them with their individual needs. And I think AI is, a big help to that. It’s, it’s absolutely, it’s one way we can deliver on that premise. 

David: I mean, shocking. No one, shocking no one, I, I built an, I built a bot that focuses on adaptable teaching. Last week is just a proof of concept. There you go. And the prompt is actually reasonably straightforward.

It’s what you tell another teacher. It is something along the lines of, if the student is struggling, if the student doesn’t really understand it, you make your explanation different, simpler, use fewer words, use different context, use different ideas, the sorts of things that you would do naturally, the sort of way you’d explain it to a trainee teacher, how you do it.

Yeah. And it works, it works really, really well to differentiate and structure and do that adaptable teaching. And more so than any technology I’ve ever used, it is the sort of thing where as teachers, we have a superpower because we spend all day telling people how to do things. And that’s what prompt engineering is.

It’s telling somebody how to do something. And because we can explain the concepts of what we’re doing really, really well, we can explain it to a bot and that bot can help a student in a really, really appropriate and effective way. AI, I, I, I, all these, all these hardware things, robotics VR, AR, all these things will come into the classroom at some point, but the cost of them has to drop unbelievably drastically.

We are there already. with using AI in the classroom. It is at a cost point where it’s a, it’s, it’s something you can buy into in the classroom and use it effectively. And that’s all we need to do. Just start using it effectively. 

Alan: I think that is probably a good point to start wrapping up. It seems we started talking about wrapping up about an hour ago. I think probably we should. Yeah. Because this is going to be a fun edit. I think I said that already. So yeah, so I’m off to go and make some AI cartoons about Labradors or something. 

David: I’m, I’m, I’m off to start prompting AI in the random bits of pedagogy to see what I can do.

Dave, it’s been brilliant and we’ll take you up on your offer. I’ll. Yeah. Brilliant. Talk to you about, I’ll find out more about Mind joy, mind joy.com and . Good salesman. I love it.

Alan: We’ll pop together. Alright. So this has been brilliant. Thanks very much for your time. And yeah, I, this is backed up. I have several recordings backed up now that I need to edit and put on the pod in the next few weeks, so it could be a little while. So, unless, like I say, I just give it to AI and it just does the job for me.

Yeah. Great stuff. 

All right. Thanks for coming on. 

David: No worries, buddy. I appreciate it. And long may this podcast keep going. Cause I have a great time listening to it. Thank you very much. Thanks for your kind words about the podcast and the books. If you’ve not bought the books, please do. Learn, learn, learn, how to learn computer science is my favorite of the two.

Alan: Yeah that’s the one that was proofread and contributed to by OG Dave, as we must call him now. Yeah, so OG Dave helped me a bit with that one. So, no, it’s great. Yeah, brilliant to talk to you, Dave, and we’ll catch up again in the future. If this podcast continues, as as it might do, I’ll get you on a future episode.

David: Absolutely. I’ve got lots of other interests apart from AI, I promise you. 

Alan: Yeah, I’m sure. Alright, but it’s the hot topic of the moment, so we had to do it. Absolutely. Cool. Alright then Dave, have a nice day. I’ll catch up with you again soon. Cheers. Thank you. Bye then.

 So there we are the end of the two-parter. Next week, I’m talking all things, physical computing with Mr. Pete Dring, and after that I discuss curriculum and qualifications with Becky Peters and Andrew Virnuls you really must join me again next time. And I will try not to leave it so long. To get the edits out these days. Next time. 

 So if you can’t wait, why not book me to speak at your event or deliver an inset to your school? To your cluster or multi academy trust. You can hear me speak live at Craig and Dave and friends. The conference in Bromsgrove on 3rd of July. See craigndave.org for details. And I’m online at my own CAS Manchester meeting on 9th of July. See the computing at school website. All welcome.

 I’m off to help my daughter with GCSE revision. Yes. It’s that time we’re doing science today, talking of which, why did the physics teacher break up with the biology teacher? Yes. You guessed it. There was no chemistry. 

 Talking of biology, why don’t ants get sick. Because they have little antibodies. 

 Don’t forget podcast listeners. You can get a 20% discount off all books, not just mine at JohnCattbookshop.com. With the code HTTCS pod. If you already have the books, buy me a coffee, please. kofi.com that’s ko-fi.com/mraharrisoncs All links are on my blog at httcs.online/blog and subscribe now. So you don’t miss a thing. Have a great weekend and I’ll catch you next week.

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AI leadership pedagogy podcast teaching and learning

Podcast Episode 009: What is the Future of Education?

Transcript for the new podcast episode is below…

Alan: Hello. And welcome to how to teach computer science, the podcast. This is episode nine, what’s the future of education. I’ll be answering that question and many more with the help of today’s special guest.

David: my teaching persona is very much, I have taken millions of stories from around the web and just turned them into anecdotes that involve me or my friends.

I don’t have many friends. It’s, I haven’t done that much in my life. but I’ve got all these little anecdotes to hook ideas into people’s brains. And I, that is what teaching is to me. 

Alan: And, more on that in a moment. My name is Alan Harrison and I wrote the books how to teach computer science and how to learn computer science available in online bookstores. More details at the companion website HTTCS dot online. 

That’s the initials of how to teach computer science. HTTCS dot online. We talk about AI today, artificial intelligence. So with that, as a theme, I asked chat GPT to make up a joke. Here we go. Why don’t scientists trust atoms. ’cause they make up everything. 

AI AI is going into everything. Now I hear that McVities have even made an artificially intelligent hobnob. That’s gotta be one smart cookie. 

Ikea’s home design product has AI in it now. So you can visualize it’s Billy bookcases in your living room. That’s right. It’s shelf-aware. 

Alan: talking of awareness, would robots becoming self-aware really be a bad thing? I mean, look at that ASIMO robot made by Honda, if it was at all self-conscious would it really walk like an old man who hadn’t quite made it to the loo in time? 

So I also mentioned threads in this episode, you can find me there as @mraharrison on threads and every Friday, Dr. Bill Wilkinson. Hosts a #FridayFive challenge, name, five tracks on a theme. And last week was crooners, now I don’t know many crooners, but I do like Sinatra and Crosby. Not Bing Crosby. I prefer his brother, and arch rival, Google Crosby, who nobody seems to talk about such is Microsoft’s influence in Hollywood. My computer keeps trying to replace Google Crosby with Bing Crosby, but I keep rejecting the change. And everyone out there. Particularly the Linux heads are all wondering if I’m going to mention. DuckDuckGo Crosby aren’t you. There you go. And you’re all listening. Thinking of search engines to put in front of the name, Crosby. , I’ll leave you doing that. And I will. 

Alan: Quite right. I will get on with today’s episode and we can meet today’s guest known as the lesson hacker, or if you’re a fan of Craig and Dave’s YouTube channel, you may know him as Another Dave. We had a blast. Here’s all the goss. When I met David Morgan. 

All right so I’m delighted to say on the podcast today I’ve got another Dave. Why is he another Dave? Well Last week we had Dave Hillyard of Craig and Dave and on their YouTube channel you will see a new series of videos from Another Dave. Another Dave, who are you, please, and what do you do? 

If you are grateful for my blog, please buy my books here or buy me a coffee at ko-fi.com/mraharrisoncs, thanks!

David: Yeah, I’m David Morgan. I’m not the OG Dave from Craig and Dave, but I do some content on the channel. But no, I’m David Morgan. I’ve been a computer science teacher in the UK for the last 20 years which is my excuse for not having any hair, Alan, but I know that you have a beautiful head of hair, so I can’t use that much longer. I’m currently the head of learning and community at MindJoy, and we make AI platforms for AI tutorbots in the classroom, which is really exciting. 

Alan: I don’t know if you’ve been listening to the podcast. I’ve been using. Yeah. You enjoying it? 

David: Yeah. Yeah. I really am. Like it’s really nice to have a podcast from someone who knows what they’re talking about and he’s a computer scientist as well. Because I did a computer science degree, because I really spent a lot of time honing my teaching craft and making sure that it was entertaining.

Like I find a lot of those people that say things like, Oh, computer science is it’s for the very intelligent ones. Cause it’s very difficult. I’m like, Oh, jog on sunshine, jog on. And I hate all that stuff. Your podcast is just no, here’s the stuff you can learn. Here’s the cool things. I like, I’ve really been enjoying it, but then I enjoyed your books as well. So I didn’t expect anything else. I literally read your books for fun. So yeah, brilliant. 

Alan: Brilliant. You’re the one, you’re the one that bought them. Singular. Yeah. Brilliant. Anyway. You touched on a topic close to my heart there, gatekeeping of computer science and I I won’t have it. I won’t have it in my classroom. So haha think 

David: Anna Wake said in the last one I listened to, she was going on about like tokenism and that’s something I’m very worried about. . Oh yeah. It’s something that I like. I really like AI for solving that problem. But it’s not only tokenism, is it?

It’s it’s even like ableism. It’s oh yes, only the people that do maths can do this. I’ve had people like who absolutely were in bottom set maths, but were engaged. That’s far more of a superpower in my book. 

Alan: There was a Facebook comment on one of the computer science groups a year ago. I won’t mention who said it, but name and shame. No . No. This is a safe space. This podcast the yeah, it’s, they described GCSE computer science as a bit like further maths with computers and I just completely disagree with that. I don’t think, I don’t think that person got very many agreements in the comments, to be honest, because it’s much more than that.

And if you’ve heard any of the, Discussions, it’s all about creativity. I haven’t published the one with Dave Hillyard the other Dave. Sorry, no, you’re another Dave. He’s OG Dave. So original Dave, OG Dave, OG Dave and I. Had a chat last week and we were all about creativity and the beauty of algorithms and stuff. And it’s not maths. There’s a bit of maths, but there’s a bit of maths in everything. 

David: Mathematicians wish they were us, dude. They wish they were us. Applications of your subject, things you can show students, you can actually go and do as a living. And you can make money from things they can do in their spare time. They wish they were us with application of a fundamental subject into the real world. 

Alan: They do. And when I was researching for my master’s, I have a master’s in education now. Don’t know why, but there you go. Me too, snap. Wow, cool. Oh, we have a computer science degree and a master’s in education. 

David: Yeah, you have nicer hair though. You’ve got that one up on me, so don’t worry about it. 

Alan: Why are we sat here chatting rubbish, on wednesday morning and not fixing the world’s problems. I’m sure if we put our minds together, we could do something more important. But hey, here we are. Um, What was I going to say?

Oh, yes, I was reading about computational, astronomy, as you do. Computational branches of all the sciences have now evolved so far that I think it was Peter Denning’s book that wrote about how one American university the computer science department thought that they could probably help the computational astronomers so they put together a seminar where they shared each other’s work and the computer scientists couldn’t understand the computational astronomy because it had gone so far from, Just ordinary computer science.

It had developed its own life and its own curriculum way beyond what the computer scientists could understand. So computational stuff, computational name, your subject is is out there and gone on a journey of its own in all the sciences now, it’s great. Someone said it, computation is the third pillar of science after theory and practice.

 That’s why it’s fascinating. But what are we here to talk about? I wanted you to tell me some stuff about what you think the future will look like. The future of school and work, maybe. Our fertile question today is what does the future of school and work look like? Dave, what do you think? 

David: We are here to talk a little bit about the future today, but I will sort of preface this by saying I’ve always been a software guy, so I think my leanings are very much towards how software changes things. I’ve always very much been like the hardware’s cool, especially as an educator. Who can afford the brand new stuff? Who can afford to buy a classroom of Apple Vision Pros for the 30 students in their state school? So I’m very much a person that is a realist with what the hardware can offer. But get very excited by what the software can do.

Alan: Just as an aside on the Apple Vision Pro, I’ve got a theory on that. I’ve got a theory that it’s just really a meta quest underneath, but they thought if they sold it for 400 quid, no one would buy it because they, that people want to believe that Apple have put Apple ness into everything. So They put a price tag of seven grand on it and just went, wow, see what happens. And of course the fanboys lapped it up. But, 

David: Yeah, I will say I say I’m not a hardware guy, but like the specs on it, beautiful, like from what I’ve heard from people that have used it and the quest, it is a step up in terms of augmentation to reality. And I think that’s where we need to go.

I’m not. Personally, I’m not convinced that I want to strap an enormous thing onto the front of my head. I look enough like characters from Star Wars that it is being a bald gentleman wearing big headphones. So I don’t want big giant things sticking out of my face as well. When they get to the point where they’re eyeglasses and they’re just something we take for granted and it’s just an everyday like the phone is just a bit of metal we stick in our pocket.

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And when it gets to that point, I think then we’ll reap the benefits of AR and who, who in this room? would not want to look at a group of students whilst on duty and have their names floating above them. So when they’re running down the corridor away from you, you can actually call after them and follow up without having to ask 20 people if they saw anything.

Alan: This is the Holy Grail. This was one of the problems I had when I was a teacher which is I never remembered names, particularly if I hadn’t taught them. And of course, computing teachers, we see 300 kids every year and then 300 new kids the next year because we only get one hour a fortnight or whatever. And loads of classes. And yeah. 

David: I’m not sure if you noticed this as well though, but like it’s 300 kids, but you see the back of their heads most of the day. So it’s very good at naming students. If I saw the, sometimes on parents evenings, I’d have to be like, Just turn around for a second. Oh, yes, I know. Yeah, 

Alan: I know the back of that head. Yes. Right. Okay. Um, Yeah you’ve touched on something I mentioned with Andy Colley on his podcast. Andy Colley does the Learning Dust podcast with Dave Leonard about ed tech and it’s brilliant. And he asked me what would I invent if I could invent anything to help teaching?

It would be, so like Google Glass, when you’re looking around the classrooms reading the brainwaves of the kids, so you can see confusion as red and understanding is green and all of that. So you could basically do a check for understanding by scanning the room. 

David: It’s hilarious because we we literally do that with Mindjoy, the conversations they have and we color code them. So like at a glance, you can see. That’s amazing. That’s like simultaneous thought. I love that. 

Alan: Well, it’s the future everyone’s got the mini whiteboards, so you ask the question, they hold up the mini whiteboards and you go, ah three quarters of them didn’t get it. If you could do that with technology instantly, then that, that would be great.

I’m sure that will come soon. But yes, just names. How many times I shout “Oi, you!”, and they give you fake names as well. That’s always hilarious. And the weird thing is you go on Sims or whatever your school system is and you look for these kids and I don’t know about you, but I think I’m, I think it’s called face blindness.

If I see just a mugshot of a child, I can’t say whether or not that was the child I saw running away from me down the corridor. 

David: It’s a completely different context as well. If I spend the time putting my makeup on and smiling beautifully for the camera and sucking in my gut, I look a little bit different than I do just walking around the corridor, slouching and, I think it’s a real big difference. And one of the, one of the interesting things there’s been a lot in the news recently about schools and public institutions using facial recognition and being like rightly so being brought to the information commissioners purview and told off about it and fined in some cases, because like I’m sure you’re aware of this, but if you introduce any biometric sort of measures you do need to give people an option to opt out and a more old fashioned sort of pin number style version. And I remember when we introduced a fingerprint based sign in and payment system in one of our schools, part of the budgeting process was just like, how many students do we think are going to opt out? How many smart cards are we going to need? Because if it becomes a meme, it’s going to, it’s not going to be worth installing. 

Alan: It hit the press, I don’t know, about 10 years ago when these fingerprint payment systems came in around schools and parents were outraged, apparently if you read the Daily Mail, but I think that’s par for the course. And they were going why do they need to fingerprint my child? And it’s just because they forget their lunch money or they forget a card, a payment card. That you give them or whatever. And we don’t want them to starve. It’s as simple as that. It wasn’t really because we’re evil and we want to collect all this data on children. It’s just this fear of technology though, isn’t it? And I guess we just need to make our communities understand it better, which is why we teach the subject of computing,

David: I think you’re right. I think like part of the thing for me was that the reason I got into teaching computer science was because, and this is the worst origin story for a teacher you’ll ever hear, right? But my computer science teacher in secondary school was god awful. And I won’t name him and shame him, but he was god awful. And I was the one in the classroom helping people out and getting people excited about it. And I was just like, oh, I love this subject. And I’ve just read about it myself. I can make people excited about this.

This is what people should be like. They should be fascinated with technology. Changing everything. And I did, when did my computer science degree and I trained to be a teacher because I wanted to achieve that. And I think, I think I did, I think I did a pretty good job, but it’s such an important thing that people understand what technology is, what the abstraction is, and what the impacts of it.

Like the big technology for me, the thing that I think is going to have the biggest impact on education full stop is AI. And I hadn’t really encountered this generation of AI until. I started working for Replit about two to three years ago, and at the time, OpenAI hadn’t released ChatGPT or anything like that. They didn’t have that big model in the works. What they had was an auto, like a fancy auto complete model. But we were looking at it internally and I was still teaching at the time and I remember going, oh my God, this is just, this is gonna blow people away. And I went into school and I was showing my sixth form. I was showing my GCSE students. I was like, look at this. I can, and it was very simplistic compared to what it is now, but I can give it a breakdown of what I want an essay to be and it’ll generate the text for it. And everyone was like, Oh my God, this is my homework for the next X years. And I’m there going, they’re not wrong. They’re not wrong. Why in the real world? Why would we, why would I not use a spell check in my day to day life? Why would I not use AI completion of things? And then, GPT came along and it was this. big thing. And everyone’s Oh God, there’s no jobs because AI does everything. I think it’s important that people know what AI is and what it’s good for.

And I think there’s a, there’s an issue with AI in the classroom because what people think is, Oh, I can do my worksheets and my reports. It’s ah, those things have existed forever. And let’s be honest. Who amongst us gets a worksheet from TES or whoever and just rolls it out into the classroom without looking at it or editing it ourselves? If you use third party resources without engaging in them and modifying them and going through that thought process, your teaching is going to be absolutely shocking. 

This is why most computer science teachers Most computer science teachers, worth their salt, sticklers for, Oh, no, I made this and I like my resource because I’m comfortable with every aspect, every facet of it. And so AI for me, isn’t like this thing that will fix the admin issue, the time issue in schools. Because let’s be honest, if we get more time back, they’ll find a way to fill it. For me, what AI is is a way of reducing a bottleneck in the classroom, which has always been there, and it’s you as a teacher.

You as a teacher, you might have the best relationships, you might have spent 20 years honing your craft, you may have the most amazing, exciting stories to introduce the concept of, I don’t know binary arithmetic, you know, you might have fun anecdotes, but at some point in that lesson you go 30 students, Off you go! And then four people put their hand up and you have to split your time up. And what AI is to me is a way of augmenting your teaching and using things like AI tutor bots to be like, okay, we’re going to go. There’s an AI tutor bot I’ve put the effort into that I know will work the way I want it to.

And I want you guys to go and use that. And what that does is that removes that initial Oh, what do I need to do? I don’t quite understand X, Y, and Z. And it opens up a lot of opportunities. That’s just really the most simplistic way you could possibly use anything, right? And it, but it’s such an augmentative, such a saving. And what that frees you up to do as a teacher, is instead of running around like a crazy person for an hour, you can actually It lets you target those interventions and it lets you make sure the people that need the help really get the help. And I think AI is going to be such a boon for us in the classroom.

If you are grateful for my blog, please buy my books here or buy me a coffee at ko-fi.com/mraharrisoncs, thanks!

Once we get out of that mode we’re in now where we’re afraid to talk about it because the reality is that every student has used it to cheat on their homework and every teacher has used it to mark work or do a report and the twain do not talk about it because we feel like we’re cheating. And I think if we use the most appropriate use case, it’ll be much better.

Sorry, I interrupted 

Alan: you. Yeah, no, I absolutely, I love all that. And you said cheating then, and I wrote a blog on this six months ago or something, and I titled it, Stop Calling It Cheating. That was my blog title. And because I was so frustrated, if you want to be really frustrated Dave, you need to.

Join a Facebook group called ChatGPT4Teachers, and it’s mostly American teachers and they’re mostly trying to automate the worst pedagogical ideas ever, and of course, American schools, a lot of them are still stuck with the grade point average system. They do term papers and and mark them and give them a grade A to F and that becomes a grade point average and that decides whether you graduate or not.

And so right throughout their high school career, these kids are doing term papers and basically that’s how their understanding is judged, which is terrible. And even before AI, they were cheating by doing homework for each other and googling things and writing down what they found and all sorts.

And And suddenly there’s this, Oh my God, I can’t trust any of my kids term papers now. So how do I grade them? And what AI detectors are there so that I can check that they’re not cheating and all of this? And I’m in there trying to be the voice of reason going, if you’re setting a term paper, every term in all of 10, 11 subjects, then those poor kids are swamped with writing essays. All of their entire high school life to try and prove to you that they’ve remembered something that you taught badly in the first place. And they’re going to cheat. So stop doing that. And there is fortunately a movement in America called ungrading, which brings us back to more like what we do in this country, which is more formative assessment and far less graded papers.

David: I think one of the things that I think I’ve written a blog post, which should be out before this episode comes out, called The History of Cheating in Schools, where I sort of go through everything that I did as a student, because I like, I grew up at the transition from paper to computers to internet. So there was a significant difference in the way that I, I suppose, in quotes, cheated on my homework for the entire time that I was in school.

But if you examine every step, what happened is let’s take for instance a research homework in the days pre internet, pre computers. What did people do? They went to the library and they copied out of a book, right? Now, in the ideal world, that’s, I’ve got multiple sources, I’ve synthesized, I’ve done a good pedagogical strategy, but what the reality is for the vast majority of people is they literally copied it out.

And there’s research that suggests that actually is an element of pre learning and helps with mastery because you’ve got that sort of, it fires off the phonological loop and. What you end up with is it is a base layer understanding that when you cover it in lessons is enhanced. So the cheating, so to speak, was actually what was used and leveraged by teachers as pre learning. And I think that is if you go through every sort of, like I go through in the article Oh, then Microsoft Encarta, everyone literally copies and pastes the same text because there’s a limited supply. and what happened? 

Alan: CD ROM encyclopedias. I miss them. 

David: Exactly. If you were clever you bought one of the less popular ones and then you look like you knew what you were talking about, but everyone copied from Encarta. And it was like the, in every stage of this, and we’ve been stuck in the same sort of stage of this for 15 years with, we have Google for instance, good search, and we have Wikipedia, the repository of all human knowledge, but we’ve just hit a different milestone. And that is. That unique generative work can be created by anybody.

And in that situation, what you need to do is you need to stop making it a taboo. You need to stop being like, Oh God, we don’t talk about it. Please don’t use it. Because the reality is when these students end up in the world of work, AI tools are going to be like a spell check to them. They’re just going to use them. So we need to train them how to use it. So what you need to do is stop AI being this mystical, horrible thing that People feel like they’re cheating on and something you’re actually using your lesson. I say this a lot. I think if you think about what is the gold standard of academia? How, like what if you’re doing it, if you’re doing a a final thesis for your PhD, how do you get graded? You defend it orally. 

Alan: Orally. Absolutely. Yeah. 

David: Now, AI, can be used to simulate that entire thing. You can get a 10 year old, 11 year old to place in a piece of homework they’ve done and the AI can come back with. arguments with the opposite, and they have to defend it. And it’s a conversation. It’s not just I’ve programmed in four responses and it’s going to come through. It’s a genuine, generative conversation that makes the student more able to back up their thoughts and their feelings, which is a much better, and let’s be honest, if we say that’s the gold standard of academia, if we can bring that all the way down to the point at which we’re using it in like secondary education, gives the student a much more concrete awareness of.

the points they’re making and the arguments against them and why they think one thing. So for me, generative AI is this beautiful thing that coming into the classroom as a tutor, coming to the classroom as something to augment your teaching, really makes you more like the 10x teacher. I’m sorry, I use that phrase a lot. I don’t know if that’s very common in, it’s very common in Silicon Valley. So the idea of a 10x like engineer is that you start your career. You can do the work of one person. With tools, with experience, with automation, you can be, have 10x that impact. And the sort of the leading theory at the moment is that AI is the sort of thing that would drive you to, to be able to become the 100x engineer.

And this isn’t everyone, but this is the sort of things they give to people like Steve Wozniak and the types of people that can go on a weekend code bender and come out with a revolution. You know what I mean? We can all get to that stage with engineering and coding by leveraging these tools. But I genuinely think there’s a place for the 10x teacher in the classroom, because if you are an outstanding teacher, if you’re getting up there and smashing it every single day, then leveraging these tools, and I think importantly, not getting off the shelf stuff, not getting Oh, here’s a worksheet generator. Here’s something that will knock up my lesson objectives for me. Prompting those AIs yourself means that you’ve got control of it the same way you have control of that content. Sorry, go on. 

Alan: It’s alright, just on worksheet generator, that made me shiver. You know, Just the phrase worksheet actually makes me a little go cold. I think there’s been a Very obvious shift towards PowerPoints and worksheets in the last 10 15 years or so. And so again, going back to my blog I wrote a blog a couple of years ago about Nevermind, it’s called Nevermind the PowerPoint. And because I would, again, on Facebook teachers would go, has anyone got a PowerPoint on this? And it’s Boolean logic for year nine or something. And I realized that they were equating a PowerPoint with a lesson, and believing that the PowerPoint would magically deposit the knowledge into the kids heads and stuff. And it comes back to Andy Colley’s podcast, learning dust doesn’t fall out of the bottom of an iPad.

It equally doesn’t transmit itself from the whiteboard to the children’s heads through a PowerPoint. And the worksheet as the lesson or the worksheet as the product of the lesson, completely forgetting what we’re actually trying to do, which is make a change in children’s long term memories. They need to know more and be able to do more. And the, we’ve encouraged in a lot of classrooms, we’ve encouraged The children, the pupils, to believe that completing a worksheet is the goal of the lesson. And so they will have spaces on the worksheet and they will point to them and go, look, there’s something in each space. Therefore, I have achieved what you wanted me to achieve, sir, or miss or whatever. And teachers will be happy with this and they’ll say things like on Adam Boxer’s podcast, he was very scathing about a result on the TeacherTap app, which is this survey app that teachers can fill in that said do you mind children chatting in lessons as long as they’re getting their work done?

And 50 percent of teachers said, yeah, that’s fine. And he was furious about that because it’s all about the concentration. But I think what we’ve What we’ve come to understand as teachers, a lot of teachers have come to understand that completing the worksheet is the lesson. Going through the PowerPoint and transmitting the stuff followed by completing a worksheet is the lesson. And I think the art of teaching is being lost in all of this in order to, I don’t know, to perform, to show that you’re doing something, to have something to mark. And I think we need to get back to, telling stories, encouraging children to love the subject for itself and to love the journey of learning rather than produce, producing an end product on a piece of paper.

David: Absolutely. I think, I think I’ve said at the start of this podcast, big fan of your books read them for fun. I am not a very popular slash employable teacher slash head of department slash deputy head as I was in schools, because I am very opinionated. And I do not believe in following. Don’t say. Shockingly, shocking no one. I don’t believe in following the the breadcrumb trail left by people that are trying to commoditize and standardize things into a worksheet. Let’s look at the present, not even the future, the present. The present is I generate a worksheet or a PowerPoint with AI.

I give it to my students. They answer it with AI. I mark it with AI. Who does any work in that? It’s just busy work. It is dancing around this concept of what education is from God knows the 19th century. I agree with you completely. What education is, is telling stories, hooking into those young person’s brains and encoding the information in their brains in the most useful way.

I had a brilliant lecturer at university. I did a module which. was about communication ostensibly, but he was a like a film director a local one. And after the initial, two weeks of here’s how we format communication, it was, let’s make a film, shall we? And his teaching was brilliant because he always, he said to me just one day, he’s like, Oh, I seem to have lost the room.

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I’ll tell you an anecdote now. And I was like, That works. So my entire teaching career, my entire teaching persona, and I say persona because I do believe it’s, there’s an element of it’s an exaggerated form of yourself a lot of the time to be comfortable. But like my teaching persona is very much, I have taken millions of stories from around the web and just turned them into anecdotes that involve me or my friends. I don’t have many friends. It’s, I haven’t done that much in my life. but I’ve got all these little anecdotes to hook ideas into people’s brains. And I, that is what teaching is to me. It is not marking. I was always like, for the first five years of my career, I had this existential guilt. People would be going home with bags of books and tick and tick.

And I would mark two or three things, a term which are meaningful. And I don’t like, why would I, The worst thing for me was when this idea of differentiated work became very popular and what, what, what the conceptualization was. I agree with, I am very much a scaffolding guy. So like the project, the idea, the thing we’re building is the same for everyone. We’d like you to get to this same place. But what I’m going to do as a teacher is I’m going to give. Scaffolding, so that if you need more help to get there, there is more things in place to help you get there. But what this idea of differentiated work turned into was, look at this perfect example. Here is, I don’t know, modern foreign language X.

Here’s a worksheet with lots of gaps, Here’s a worksheet with less gaps. Here’s a worksheet with less gaps in the words written in the bottom. And I’m like how is, this is not differentiation. This is three different worksheets that, that’s complete the box. I don’t understand the pedagogy behind it. And maybe that’s why I’m such a big Pedagogy Nerd. That’s why that’s why, to be honest working at Mindjoy has been amazing for me because everything in the company is pedagogy focused. Everyone’s teachers, everyone’s very much we understand the science of learning, we want it to happen.

And you used this beautiful phrase just a few minutes ago, which was, I think that the art of teaching is being lost. I think there is an artistry to the best teaching, but I think the vast majority of teaching is learnable and science. And I think the differentiating factor between a solidly good lesson and an outstanding lesson is the little bit of spark and joy that you can bring with our artistry as a teacher. And that, think about your favorite teachers as a child or as an adult, who made the biggest marks on you? For me, it was the weird and wacky ones. It was the ones with the best stories. It was the ones that weren’t absolute fascists. And I think that if you are going into a classroom to teach young people, you’ve got to go in with the idea that the only thing you can change in that classroom to influence them is you.

No amount of worksheets, no amount of content that you buy that you get from elsewhere. is going to influence how they engage with your lesson. That’s you. That’s your behavior. That’s the way you act. That’s the things you present them with. That’s your idea of pedagogy and what you like to do. And it is stuff that you can learn. And your book very rightly covers a lot of that. And your podcast with Andy Colley, was absolutely exciting. Like I was geeking out when you mentioned my favorite theory, which is semantic waves, which when I read that, I was like, Oh my God, there’s a word for what I’ve been doing. Wow. And I think so much of pedagogy and research is giving people a shared vocabulary to talk about.

And what I love about the future we’re heading towards is we’re heading towards a future where I can model a singular pedagogical style inside an AI, and I can push that AI to a student who can experience that, but they can experience it from a system that’s, That hasn’t had a bad night staying up with the baby. That hasn’t got 7B next, who are going to be screaming. There’s a bunch of things that AI has, which is which if you program it, you prompt it well, and that’s a skill we need to get as teachers as well. I think that’s worth saying. As a teacher, you need to go and learn how to prompt AIs because you don’t want to be someone who buys things off the shelf and has to use what’s there.

You want to be somebody that goes, actually I want to change this lesson in this way because I think this would be better for my learners. Again, the only thing you can change in the classroom is you. And the only thing you can change with AI is if you can adapt the prompt, learn how to do it. Come along to my workshops. That’s what we do there. We talk about those things. It’s a skill for the future. It is something you need because if you’ve got the skills to tell these bots how to interact with these students, how to bring these pedagogical strategies. I spent the weekend building a semantic waves bot because I was like, I need to turn this into something that I can push because I’m a massive nerd.

Like what else are the people at the football on Saturday? I’m there. with my notes out and my research and tapping away at a prompt and being like, can this work? Is this for me? And 

Alan: I think that one, I think that one sentence Dave probably sums up this podcast. I’m going to cut that out and I’m going to, I’m going to post it on social media. Um, “I spent the weekend making a semantic waves bot” said Dave, the lesson hacker. 

David: I like that idea, just the nerdiest quotes. 

Alan: This has become a very niche podcast now. Very niche podcast. 

David: Computer scientists who spend their Saturdays doing work. The thing is, there are hardware people, right? There are hardware people that spend their weekends with their Raspberry Pis and their soldering irons doing amazing projects.

I’d love to be one of those people. But My brain works with software. My brain is I’ve got this hardware in front of me, which is super capable. What can I do with it? And I think the reason that, again, we had a list of topics to talk about today. We had VR. I think I’ve covered that very quickly. I’m like too expensive, but cool. 

Alan: We had, we had robotics. We can maybe rattle through a few other topics before we wind up, but 

David: yeah, go on. I think like I can sum up robotics in a sentence for you. I’m like, Cool, but too expensive. Software is the only thing that we have in school that we can actually make an investment in a reasonable way. And especially if you’re on a departmental level budget. Now, I I was, I, as I said, most of my career is like a head of departments. I did a little bit of like senior leadership stuff. And then you’re talking about Big money, but you’re talking about big money that has to tick all the boxes across a school.

When you’re in a departmental level and you’re looking at software, you’re looking at things that are going to improve and enhance what you’re doing, but the money’s not a lot. So you can’t, again, I’m talking from a state school point of view here, but you can’t go out and you can’t go out and say, Yes, I’ve bought 30 Raspberry Pis and a bunch of kits and all these little bits, and we’re going to have a three week project doing hardware because, it’s just not affordable, is it?

And especially the rate at which those things end up getting destroyed because students make mistakes, as they should. I, the most costly lesson I ever had was when I brought in a processor that I was going to reuse in a different PC and was showing the students it, and they were having a look at it. And one of the students bent all the pins on it accidentally. 

And in that moment, I was like, that was a couple of hundred pounds down the drain because I was excited about showing them something. That happens all the time. With software, what you end up with is something that can push along the pedagogy, can push along the teaching and learning, can give you tools that isn’t going to cost the earth and that will run on pretty much anything.

And I taught a lot in one to one schools or schools where devices were like a thing that they could have, because I very that’s me. I very much think that if I can whip out my phone at any minute and look something up, students should be able to too, because I’ve taught in schools where the rules for teachers and rules for students were very different and I find it very hard to enforce rules on students that I don’t have to follow myself.

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I’m like, I am a person that I like, I have lots of piercings, right? You probably don’t notice it on my videos a lot because they’re not very flashy, but whenever anybody meets me in real life, they go, Have you always had those piercings? And I genuinely remember having to crack down on, and this is in the last couple of years, crack down on piercings in students.

And I’m sat there with two fresh ear studs at the top of my ear. And I’m like how does that work? And it’s the same with phones. I think if there’s an expect, with any sort of device. We have, we as a culture now rely on this ability to pull out information at the drop of a hat to look things up.

And I do that all the time. If I’m in a conversation with a student and that they say, Oh, what about this? And I’m like, Oh, I’m not quite sure. Let’s have a look. If I’ve got my laptop there, I’ll look it up. But if I haven’t, the phone comes out because I’m like, Yeah, this, the conversation improves, the learning improves. Students should be able to do those same things. 

Alan: I can see that, but I can also even I struggle with the discipline of, getting your device out to look up the one thing and not go, Oh, I’ll scroll Twitter or threads these days rather than Twitter or whatever it’s called. 

David: Is threads still alive? I haven’t been on it in a while. 

Alan: Oh, it’s great now. Yeah. No, jump, jump back into threads. 

David: I have to jump in because one of the questions, one of the questions I had is I was big into EduTwitter when it was like a big thing with 10, 15 years ago. And recently, people don’t even argue during the holidays anymore.

What’s happened to EduTwitter? What’s going on? So where have people gone? 

Alan: I wrote a blog six months ago now saying, I’ve quit X, you should too. Because I just documented the fall of Twitter and how it’s been taken over by a white supremacist. I’m not joking. It is a dangerous place now for academics because if you believe in equality or diversity, you will get attacked.

If you, even if you talk about climate change, you will get attacked. If you say anything, what they call woke, you’ll get attacked. And those attacks, 

David: I’ve got the trans flag in my bio. I get attacked all the time. 

Alan: Exactly. But that’s the thing, but we know that these these attacks can spill over into the real world as in people get physically attacked and there have been the owner of Twitter or the owner of X himself has amplified Right wing attacks on vocal students and so on and force people into hiding. It is a horrible place. So anyway, that’s my little rant about it. 

David: I don’t think it’s a rant. I don’t think, I don’t think it’s unnecessary. I think the important thing as teachers is that we’re all very aware. We need to model the behaviors we want to see in the real world to our students.

And unfortunately the sort of interactions that you have on X and Twitter with the extreme. Minority. Yeah. And not the sort of things you want to model. So I can completely understand why so many educators have fell away. But I really miss that community of practice, that sort of critical friend, that, that group of educators that would just go, I’m trying this, what do you think? And then it would be a great conversation about those one things. Now I found those practice, I found smaller versions of those communities of practice on LinkedIn, certainly. Which is, at least it’s. At least it’s unblocked in most schools because it’s like a business y thing.

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And there’s private Facebook groups which replicate it, but I think I still miss the ability for me, I finished my dinner. There’s nothing really on TV. I’ve got no mini projects to do. What can, what conversations are going on about education? Things I actually care about?

Alan: No, absolutely. So in an ideal world, I’d love the kids to be able to whip out their devices and look things up. I just, I feel that the temptation to do other things and the possibility of distraction, which there’s a lot of evidence for, means that that’s a really difficult thing to to, to manage.

David: I do agree. And I think in the same breath. I agree. And I think that I have no beef with schools that ban phones or ban devices at all. I don’t, they’re just not for me. They’re not my sort of school because I think this is important with the way that teachers, we’re going off, off topic a little bit here, but I think it’s important for how teachers apply for schools as well.

I used to apply for schools with a CV. Which was very colorful, which was very graphic design y, which had jokes in it, which had a silly picture of me pulling a face. And I would do that because I know that teachers where everyone’s poo faced and are very serious about things aren’t schools for me. So teach, like anybody that would get that CV in a bundle of an application and go, Bring this guy in, let’s see what we want to talk to him about. That’s a school for me and that did me very well in my career.  

Alan: It’s a good message. To be honest, as a computer science teacher, we are in a privileged position in which we are much in demand and we can probably work anywhere. So that’s going to work for us, where it might not work for an art teacher, ironically. Because the art teacher is often more likely to have the piercings and nail polish and so on. But um, but yeah, use your privilege computing teachers. You are much in demand and if you’re not enjoying where you are and you can’t be yourself in the classroom, have a look around.

David: Yeah. 

Alan: Absolutely. 

 Well, it was bound to happen sooner or later when I get talking to someone fascinating and we bounce ideas around, we can’t stop. David and I talked for nearly 90 minutes and I ended up with far too much content for one episode. So I’m splitting this bumper recording over two episodes of the pod. You can look forward to the second half. Where Dave and I really get into AI next week on how to teach computer science. 

 However, towards the end of our chat, Dave issued me a challenge. Let’s hear what happened as I skip to what became the mind joy chatbot challenge.

Alan: My favorite. Chatbot at the minute really is probably cs50. ai from Harvard because it’s, it’s got guardrails so it doesn’t hallucinate quite as much about um, some stuff and, and it’s better.

David: I’m putting faces at you, but I’ll tell you why in a minute. 

Alan: Yeah, so Dave’s making a funny face for those listening about the word guardrails. So it’s about the CS50 bot in particular. CS50 bot. Um, Yeah, so you can ask it questions about programming and it’ll uh, it’ll guide you towards the answer rather than just, here’s the code. It’ll have a Socratic conversation, as you mentioned earlier. What are your, What are your issues with CS50 then? 

David: So the reason I sort of sucked my teeth and did the, the um, ooo emoji, is because that is a commoditization of very simple prompting. And I have an issue with commoditization of, again, we talked about this, worksheet generators. In my mind, the CS50 bot is the same as a worksheet generator. It is a closed system. It is something that I can’t impact as a teacher. It is something that I can’t edit the bot is great, but it’s a general purpose teaching bot. And there’s so much more we can do with AI if we make AI part of the lesson and we build the lesson around, I’ll get the, I’ll get the bot to do this, that will help the students do this.

And therefore, the lesson can be different. It can be more exciting. It can be, like you can build a bot to help the student with PRIMM, to help them work through how they should do it. Let them have those questions. I think it will do this. And the AI can come back and say actually, let’s have a look at how that would work. And the conversations that you would have, they are what I want from an AI, not this generic tool. So that’s why I was sucking my teeth. 

Alan: No, absolutely. I think that. The situation is that probably you could build a better bot than cs50. ai, but not all the teachers listening to this. 

David: I would say anyone listening to this podcast can build a better bot than cs50 have got at the moment. And I’m no shade on cs50, they’ve done a great job, it’s a beautiful bot, but I guarantee you if everyone listening to this podcast sign up for one of my workshops and I give them half an hour on prompt engineering, right? We will all be building bots that are suitable for our classrooms, suitable for our learners, who we know better. I promise you if you want, I’ll send you a code and we can send out an invite to all the audience. I promise you every person in this, listening to this podcast can do a better job than CS50 with 30 minutes of training and a bit of time twiddling around with it. 

Alan: I, challenge accepted, Dave. What I’ll do is I’ll get on a call with you after this, I will take you up on your offer and we’ll build a bot together. And have some fun. Um, Talking of fun. 

David: What I will say is in May, we are having a computer science themed month at Mindjoy. workshops will be all based on computer science. Like what we’re pushing out will be based around computer science, which is great because I know computer scientists, so that’s a bit of fun. But like. 

Alan: Where can we find out, where can we find out more about those workshops, Dave?

David: This is actually set up well, mindjoy. com, MINDJOY. COM is where you’ll find all the workshops and all the stuff we’re doing with AI. But genuinely, like I, I know that I’ve gone on about AI a lot this episode, and we have gone very long, my friend, which I, because we’ve been enjoying ourselves, I think.

Alan: I think that is probably a good point to start wrapping up. It seems we started talking about wrapping up about an hour ago. I think probably we should. 

David: I’m off to start prompting AI in the random bits of pedagogy to see what I can do. 

Alan: Dave, it’s been brilliant I will take you up on your offer. Thanks for coming on.

David: No worries, buddy. I appreciate it. And long may this podcast keep going. Cause I have a great time listening to it. 

Alan: Thank you very much. Thanks for your kind words about the podcast and the books.

David: If you’ve not bought the books, please do. Learn, how to learn computer science is my favorite of the two.

Alan: Alright then Dave, have a nice day. I’ll catch up with you again soon. Cheers. Thank you. Bye then.

 So it’s happening. David Morgan and I are hosting a live event on Thursday, 9th of May, 2024. at, 5:00 PM. See mind joy.com. And scroll down to upcoming events or see my blog . httcs.online/blog, or check the podcast, show notes for more details. David and I will create a coding companion live on air. I have no idea what’s going to happen, but I’m sure it will be lit as the kids apparently don’t say anymore. So it’s nearly time to wrap up. I’m going to play beat saber on my Meta quest. I was thinking about VR after our chat. And I, I wear glasses and it’s a bit of a hassle getting the headset on. And the other issue is no one else can see what I’m doing unless I cast to the TV. And that’s a bit of a faff as well. And while I’m using it, nobody else in the family can. So I thought. Wouldn’t it be good if we all had a headset each, but that’s expensive and we still couldn’t see each other or share popcorn and stuff like that. So maybe. What we need is one big VR headset we can all use maybe a big room sized one we walk into with a big screen at the end. And. And comfy seats. So you can enjoy a movie together and share popcorn and maybe a hot dog. That would be amazing. 

 So that was a fun episode to make our attempt to answer the question. What is the future of work and school. Part two is coming next week. Hope you enjoyed our ramblings. Let me know in the comments or on the socials. This has been how to teach computer science, the podcast I’m Alan Harrison, please do visit my website. HTTCS dot online and buy my books. Don’t forget. You heard David tell you how much he enjoyed the books today. And don’t forget last week, Dave Hillyard of Craig and Dave said this. 

Dave: I think the final thing I would say is that your book is great. How to teach computer science, I think, is excellent for teachers. How to learn computer science, I think, is essential reading for all students, and my recommendation would be get a class set, and I’m not just saying this because you’re the author, I genuinely mean it. Get a class set of these books, hand them out, that is your background reading. 

So buy the books, if you already have the books, buy me a coffee, please at ko-fi.com/mraharrisoncs all links on my blog at HTTCS dot online slash blog. And subscribe now. So you don’t miss a thing. Check out mindjoy.com or my blog for the live event on the 9th of May. So have a great weekend and I’ll catch you next week.

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Categories
podcast teaching and learning

Podcast Episode 8 “How Do We Teach Algorithms?” with Dave Hillyard

Another episode of the podcast is live here

Transcript

 hello. And welcome to how to teach computer science. The podcast. This is episode eight. What is an algorithm, I’ll be answering that question and many more with the help of today’s special guest. 

Dave: Craig’s always like, Dave, say less, say less. 

Alan: Yeah, get to the point. Good grief. You’re a teacher, man. Explain things concisely. 

Dave: The thing is, I don’t know about you, but things fire off in my head. So I’m talking about one thing, but the multi core processor in my head is already processing something else, and I can’t help myself. I have to then talk about the next thing that’s popped in my head. 

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Alan: Yeah 

My name’s Alan Harrison, and I wrote the books how to teach computer science and how to learn computer science available in online bookstores. Please do go and buy my books or leave a review. If you’ve already bought them. Details at HTTCS dot online. That’s the initials of how to teach computer science. HTTCS dot online. Oh, so I had a bit of trouble earlier. I’ve got a new laptop and the music app wouldn’t stop playing someone like you. Then I realized it was A Dell. 

How does the CPU get to work? On an instruction cycle. And talking of work? When I was teaching an English teacher, asked me to round up his 28 glue sticks. So I said 30. Never ask a computing teacher for help. After I recovered, he said, can you pop to the stationery store and get me two rolls of sellotape? And if they’ve got glue sticks, get me two more. They had glue sticks. So of course I returned with four rolls of sellotape. Hey, I don’t make the rules. I just follow algorithms. My wife called and said “while you’re at the shops, get some milk and well, I’m banned from the co-op now. 

 We’re talking algorithms today and who better to talk to than the co-author of essential algorithms and data structures, a vital resource for teaching or learning a level computer science. Let’s hear what happened when I met Dave Hilliard.

Alan: I’m delighted to invite onto the podcast today a chap that a lot of you will be familiar with as one half of Craig and Dave. It is, in fact, the Dave half. Welcome to the podcast, Dave Hilliard. 

How are you? 

Dave: I’m good, thanks very much Alan. Thank you for inviting me, it’s a, it’s a real privilege to be a part of this amazing set of pods that you’re producing, I’m listening avidly to them all, I love it. 

Alan: Oh good you’re the one, yeah, you’re the listener. Um, I’m keeping an eye on the stats. I think I’ve had like 600 listeners across the five pods now, which is nice. It’s quite a niche podcast really, isn’t it? Computer science teachers, there aren’t that many of us and there’s fewer every week. 

Dave: It very much is a little bit niche. You’re absolutely right. And it’s a shame really, because you and I are both so passionate about computer science.

and the teaching and learning of computer science. And it just feels like the audience is so small which is a shame. If we were doing silly dances, then we’d have a, a huge audience. 

Alan: Possibly. There’s always the Hungarian dancer videos on YouTube to teach sorting and searching or cert, certing and sorting, as I often say in the classroom.

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Dave: The quicksort, certainly, and maybe we’ll get on to that a little bit later because, yeah, the Hungarian dance to teach the quicksort, there’s, there’s some controversy there. 

Alan: Ah, wait, is it not right? Ah, quicksort, don’t get me started on quicksort because The question is, 

Dave: is it a 

Alan: quicksort, 

Dave: you see? people say, oh, that Hungarian dance, that’s not a quicksort.

Alan: Oh, right. I tend to put it on to introduce the topic and I show bubble sort and I don’t bother with all the others. It’s just, oh, sir, put the Hungarian dancers on again. Yeah, I’ll just do the bubble sort one. If anyone’s listening and haven’t got a clue what we’re talking about, just search Hungarian dancers bubble sort or something on YouTube and you’ll find what we’re talking about.

So. That’s the topic for today really is the algorithms topic of the GCSE. So typical content would be computational thinking and then choosing an algorithm for a purpose and interpreting algorithms and then the standard algorithms that we’re talking about, bubble sort and linear search and binary search and stuff like that.

So one of my favorite topics to teach. I don’t know about you, Dave, do you enjoy teaching this topic? 

Dave: I love it. I have to be honest. It’s one of the topics, that I find the students don’t look forward to. They think it’s difficult, algorithms, but I absolutely love it. I, for me, algorithms is like, it’s like art. When I look at an algorithm, it’s like other people, looking at a piece of art and you know you go to a gallery and people stare at this picture on the wall and they’re talking about the emotions and feelings that that piece of artwork is giving them and the messages that it’s sending to the audience and I’m just looking at some daubs of paint, to be honest, and thinking, I’m not really sure what, what in all this.

I can admire the artistry, but I don’t get that emotional connection. Whereas when I see algorithms, as sad as it sounds, I get that feeling. So I get it. I look at the code, I look at the approach and I I get a real appreciation for the efficiency or the inefficiency and those kinds of things. 

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Alan: Yeah. No, I’m I’m probably with you on that and if that makes us strange, so be it. We are algorithm geeks, that’s for certain. So, the art of designing an algorithm then, we normally call that computational thinking I’m obsessed with abstraction at the moment. how do we go about getting these concepts across to the learners then? How do we teach abstraction?

Dave: Yeah I like to have a bit of fun in my classroom and thinking about abstraction itself I get my students to make paper airplanes. I say to them today’s lesson is all about making paper airplanes. Come and grab some scrap paper. And I want you to make the best possible paper aeroplane that you can, and then we’re going to fly them across the classroom, and of course it’s absolute chaos, and the students absolutely love it, and I say we’ll get a bit more structure in here, let’s take our paper aeroplanes down to the main hall, and let’s fly them, and let’s see how how far we can fly them and whoever can fly the furthest with their aeroplane, they win.

And the students absolutely love it. And we then break it down and we say, what was important? Did, did you know, did I tell you that what was important is that your paper aeroplane had to travel the furthest? I didn’t tell you that initially, you might have assumed that, but maybe what I was looking for was the best design, the most unique paper aeroplane, the one with the most folds in it, for example.

And so we talk about what’s important. What was important with that paper airplane? And if it is a question of trying to get it to fly the furthest, then what are the characteristics of that paper airplane that make it do that? And is it important if I draw, for example, a cockpit and a pilot on the front?

Is it important if I draw something on the wings to make it look pretty. And so we use paper airplanes as a way of understanding what’s important and what’s not important. And because the students had so much fun with that, when we then say, okay, let’s look at this from an algorithm’s perspective, they’re in tune.

They get it. And they’re happy to learn something a bit deeper because they had some fun initially. 

Alan: Yeah, yeah we, we use that phrase, don’t we? It’s ignoring the, unnecessary detail and focusing on the important detail. And I always, I remember when I first started to teach computer science and I picked up someone else’s resources and we had a photo of a cat, and a cartoon of a cat, and there you go, that’s abstraction. And I remember being just as bewildered as the children at that explanation, because we then went on, probably the next lesson, to write programs, and nobody really explained to me, so I couldn’t explain to the pupils, what the cartoon cat had to do with writing a program. 

Dave: And, and that’s, and you have to start somewhere, don’t you? Yeah. And I, and I think for example, with that cat example, the other thing that I do with students is play catchphrase, right? And say, okay I’m going to put a picture up on the board a little bit at a time, and you’ve got to try and guess what that picture is and you can do it for example, in a number of ways with a picture that’s fully zoomed in. So the pixels are huge and then gradually kind of zoom it, zoom it out. So they start to see the picture. They enjoy that. Or you could have a picture of a cartoon cat, for example. And you’ve taken off the whiskers and you’ve taken off the ears and you gradually put them in one by one and you know you play catchphrase with the with the students they try and guess what that thing is so they understand about details and they understand what’s important and what isn’t but I know what you’re saying then there’s a conceptual leap between that And what it means in computer science, and of course it’s got lots of different meanings in computer science, but if we just pick one, it might be, for example, when you write a program and you save a file, you don’t know where that file is being saved on the computer.

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the storage medium. You don’t know, for example, on a solid state drive, whereabouts in the chips was it saved? And it doesn’t matter. And if you don’t have a solid state drive and you have a hard drive instead, how did it move the drive arm to the place where it needed to be in order to write the data onto the platters in the right place?

It doesn’t matter, you didn’t need to know.

Alan: No, I totally get it and I think what I’m explaining there is I didn’t quite understand abstraction when I started to teach and so it’s important that teachers do. One of the examples I give is, is maps of course. We do maps, but to talk about different levels of abstraction you could, put up Google Earth on the board and go, there’s, there’s the earth with Europe there at the top. Is that a map of where we live? And the students will go, yes, that’s a map of where we live. And so you say to them show me how to get to the library then. And you can’t until you zoom in. So you go down a layer of abstraction but how do we get from that to, creating a program or a data structure to solve your problem. How do we make that leap? 

Dave: It’s not straightforward, is it? But one example that I use is the game of snakes and ladders. They’ve all played snakes and ladders, as a child, and you could even play a bit of snakes and ladders to start with in the class if you want to have a bit of fun. I think, you’re hearing here that the message is have a bit of fun. And what you do is you put snakes and ladders on the board and you can have as many counters as you like.

In snakes and ladders, that’s the beauty of it because it doesn’t matter how many players there are in snakes and ladders. Lovely little bit of abstraction there, but what you can then do is say okay, so we’ve got we’ve got a board and we’ve got 100 squares 10 by 10 and And we’re going to put some ladders on there.

We’re going to put some snakes on there. You’re going to have loads of questions about does it matter how many squares there are? Does it matter how many ladders there are? Does it matter how many snakes there are? Does it matter how big the snakes and ladders are? And you can talk about the effect of changing those variables, if you like, on what it is you’re doing.

You haven’t gone anywhere near a program at this stage. And then you can say, okay, let’s think about moving the counters. This is where we get a bit deeper. Because if you’ve got a 10 by 10 grid, then when you get to square 10, you have to go up one and then start going back in the opposite direction. So those of you that know snakes and ladders, hopefully everybody, you start at the square zero in the bottom left, and then you travel sort of nine squares to the To the right.

Then you go up a square and then you travel nine squares to the left and you keep zigzagging up and down. And what I say to the students is, so what data structure could this be? And we start thinking about the relationship between that and a table of numbers and, oh, it looks a lot like a 2D array, doesn’t it?

A lot like a 2D array. I was like, yes, it does, but watch this because programming it with a 2D array is more complicated than it needs to be. What if. We actually unpacked that square into one long line, because at the end of the day, all you’ve got are squares from 0 to 100. So instead of seeing them as 10 by 10, why don’t you see them as 1 by 100?

Now what you’ve got is a 1D array. And that is significantly easier to program with. So I think you have to show the students through examples that they understand, have a little bit of fun, and then unpack those examples to explain to them how something that looks quite difficult could be made easier.

Alan: Absolutely. That’s a good example, and I’ll use that if I need to teach that again. Yeah, so it looks on the face of it like a 2D array. And yeah, what’s important about it is the numbers 1 to 100, and you travel from 1 towards 100, and it doesn’t matter that sort of it’s bent around. 

Dave: You take a step further with that, Alan, and you say, OK how do we represent the ladders then? How can we put snakes and ladders onto this 1D array? And you say because you’re using the indexes to represent the square you’re on from 0 to 99, then what you do is you use the elements or the data of that index to say what it points to. For example, they all have zero, which means all the squares do nothing.

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And then you might decide that square 47 takes you to square 2 because it’s a snake. Okay, so you store in element 47 the number 2. So what it tells you is where you’re going and then you do the same thing for the ladders and you can say to the students, so what’s the difference then between a snake and a ladder?

And they conclude there is no difference because ultimately what you’re doing is just storing a number of where one square takes you to another square and I say You see how beautiful this is when you take away the concept of a snake and a ladder and it just becomes a number. That’s abstraction. 

Alan: Yeah, absolutely.

And then what you build on top of that is the algorithm that processes it and the main thing it needs to do is let’s say you roll a dice, so it needs to generate a random dice roll from one to six and move you, and then it needs to read the content of the cell it’s landed on. And then process that and it might have nothing in it, in which case you stay there or you read the number that you then have to move to, which if it’s lower than the current number is obviously a snake back on our board game.

And if it’s higher and then it was a ladder. And so you can play it with just text and you can say, oh, you’ve gone back to. Blah, blah, blah, because you went down a snake. So the program could determine whether that number is lower than the current index and say you’ve gone down a snake, or if that number is higher than the current index, it could say you’ve gone up a ladder and you’ve got a text version of snakes and ladders in barely any code, really.

Dave: Absolutely, absolutely, and that’s the secret right there, because Snakes and Ladders looks on the surface like a difficult program to create for, a GCSE student, for example, but in reality, and I’m talking about creating it from scratch, and they find that really daunting, but in reality, when you break it down with them and you go through those layers of abstraction that you’ve described, what you conclude is you have One array, which is the player’s positions.

On the board, you have another array, which is the board itself, and that’s it. The rest of it is just if statements, yeah. If you happen to be on square a hundred, you’ve won. And so the program is tiny in reality. Mm-Hmm. . And if you then code that with the students, and this is the thing that I, I’ve learned is if you code that with the students and you show them the thinking process as you go through, then they start to realize that the skill here was breaking the problem down. The skill here was understanding that that looks like an array. So let’s. Use an array. So really the art here is teaching the students what those fundamental 

building blocks are and what they can do.

What is An array. What can it do? And then suddenly things become a lot easier. 

Alan: Absolutely. So I, I made a a text adventure program, it’s still on my Repl. it if you go to Mr. A Harrison on Repl. it. And kids around the world stumble upon my text adventure and play it and send me messages and go, hey, I won. But it’s like, it’s a text adventure with about seven rooms, that’s pretty much it. But I wrote it to demonstrate this principle of data abstraction because the rooms are basically in a 2D array.

And separate from the gameplay. And this is important, I think, when you’re designing a program. If you take the snakes and ladders example a bit further, my text adventure game has basically got a list of lists in Python and Each row is a room and it’s just a list of a description of the room, things that are in the room and where you can move to from the room.

And each row is a room. And so I’ve got kids, in year 10 going, all right, and taking my text adventure and adding rooms to it and then wanting to add features like being able to fight is a common one. And so it’s that. Principle of abstraction. Abstracting away the data and then writing an algorithm that matches the data and that’s , basically it. Then you’ve got it cracked. 

You make it sound so easy, Alan. How can it be, you know? 

So, uh, lots of people cleverer than us have done this. And you know what I’m getting onto. One thing I tell my kids is that von Neumann, he of the architecture was the guy invented merge sort ’cause he needed to crunch a lot of numbers when he was calculating well how to build a nuclear weapon unfortunately. How do you get across to kids that these standard algorithms are important and, and, and where did they come from and why do we need to know them, first of all? 

Dave: Yeah, that’s a challenge, uh, so just bring it back to their everyday experience, right? And say to them okay, when you’ve got list of tracks of music that you want to listen to and you want to put them into artist order, for example, how is a computer going to do that? If you’ve got a playlist of music and it to give you the next track, but although you’ve got random selected, you don’t want the chance of hearing the same track again.

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So you don’t really want it to be random. How are you going to sort the list of songs that are available so that it puts them in an order that appears random, but you can’t get the same song again until you’ve listened to all the others, if you saw what I mean. 

So I think firstly showing the students examples of where these things are actually required in real life helps to cement why it’s important. Otherwise it’s too abstract. 

Now that we know why we want it, let’s all be songs, right? So what I want you to do is I want you to write down on a piece of paper the name of a song that you like. Alright. One I wouldn’t have heard of, because I, obviously I’m old and my, my music knowledge is uh, you know, stuck in history. So we have a bit of fun.

We have a bit of a laugh about my age and then we say right, okay. Write down the name of a song on a piece of paper, now and we do this in my classroom actually, but if your classroom is not very big, you might have to do it in the hall and say right, okay, I want you to come up and I want you to hold your piece of paper in front of you and you’ve just come up in a random order and I want to sort now these songs into alphabetical order and some students will have written the name of the same song and it doesn’t matter because that gives you a teaching point about sorting data that is the same.

But anyway, so you say we’re going to do this, okay. Let’s do it! And you just get them to do it. You haven’t taught them anything about algorithms. You just say, let’s sort these into order and just watch them do it. And uh, you know, eventually they’ll get there, but it’s a little bit slow. And you say to them right, what was your method?

What were you doing there? Oh, I don’t know. I was just looking at the name of somebody else’s piece of paper and deciding whether I was before them or after them, and so I was putting myself in the right position and looking at somebody else, and we didn’t really do it particularly methodically, but we got there in the right, good, OK.

So firstly, it would be better if this was a little bit more efficient and there was some logic and we were all following the same logic. That would help. The next thing that would help would be if we took some of the good ideas you had in there, like you compared your number to somebody else’s, that’s a good idea.

How can we decide which number you should compare your number to if we’re going to have a little bit more logic? Can you just break that down with them? And eventually you might arrive at an insertion sort or a bubble sort, but you don’t necessarily have to have that preconceived idea as long as you make sure that you focus on an algorithm that’s in the specification and don’t just do a different one and then you can play it out with them and say let’s put a little bit more logic in this, a little bit more logic in this.

And as the teacher, yeah. You’re gradually getting them to that bubble sort or their insertion sort, whichever was most likely the one that they were trying to describe. And they do it and they move it and then you do the algorithm again and you do it again and you say look how efficient it is when we’re all following the same instructions and the same logic and we’re moving just two people at a time.

This is working brilliantly. This, by the way, is called a bubble sort. Okay. So now you know how it works. Let’s get back down to our chairs. Now it’s taken you a whole lesson to do that, but it’s okay. You had some fun and they understand the reasons why. Then you can take the next level and you can say right, now what we’re going to do is I’m going to put some numbers on the board.

And you’re going to come up one by one. I’m going to give you the board pen one by one, and you’re going to come up and you’re going to show me what happens with those sets of numbers just one step at a time. So here’s the board pen, off you go. What are you going to do? I’m going to compare those two numbers.

Good. What are you going to do with them? Oh that one’s less than that one. So what do you need to do? I need to swap them. Good, swap them. Pass the pen to the next person. Come up, do it. Everybody’s watching, everybody’s involved. And then when someone gets stuck, so they’re a bit embarrassed, they’ve got the pen in the hand, they’re at the whiteboard, they can’t quite remember what’s happening next.

The rest of the class are telling them, I’m doing nothing. I’ve just sat back at this point. And the rest of the class say, Oh, you need to swap those two numbers. And they get over the slight embarrassment and they do it. And the more they watch and because they don’t want to be embarrassed, they are watching.

So that when they get to their turn, They know exactly what they’re doing because they don’t want that peer pressure. So I’m using a bit of psychology there. Once you’ve done that, do you know what? It’s easy to take the step of here’s a worksheet. Do that question. 

Alan: And what I take from that is obviously they’re having fun in your classroom, so they want to be there, which is always handy, but you are, you’re using almost a semantic wave explanation there, which is, starting with an algorithm, going down into Low semantic gravity, which is the easy bit of, moving around the classroom and, and sorting yourself and then repacking it into what the concept really is. This was all about algorithms. It was about the bubble sort algorithm. But the bit in the middle. It’s fun and memorable and you can, I find when I do stuff like that, it’s not just yeah, I might have invested a whole lesson in that activity, but I’ll refer back to it for the next six weeks and I’ll go, do you remember when we did this?

And do you remember when you did that? And they will remember because it was a memorable exercise. 

Dave: I think the worst thing that you can do is just stick a PowerPoint on the board and say, today we’re learning the bubble sort. This is how it works. Here’s some numbers. Now you compare the first two numbers. If this one’s less than this one, then swap them over. The students have just switched off. They’re never going to learn algorithms like that. 

Alan: Yeah, absolutely. , So you need a Hungarian dancer video or you get them up doing the Hungarian dance. So go what do I do? I will get playing cards out to teach merge sort and things and it’s quite handy this because if I have just done a test on paper and I’ve got all the test papers in and they’re in random order and it’s handy for me if they’re in alphabetical order when I mark them because then I can just transfer the scores onto my mark sheet.

So I get the kids to sort the pile of test papers they’ve just handed in you. And I get the stopwatch out and go how quickly can you sort my test papers today? And then they’re like, alright, what if we split them up into different piles and and I go, yeah, merge sort that will do, you know,

Dave: Absolutely. So many other things you can spin off from that. ’cause you can say I’ve put the papers into two, and I want to sort that pile and that pile. And you might not be doing a merge sort. You might be doing two independent bubble sorts, for example, but you can say, is that still quicker?

And you can have that whole conversation about, multi core processors and concurrency and, what were the overheads of doing that? We’ve got one pile sorted and we’ve got another pile sorted, but they’re not sorted into one pile. Now, what are we going to do? Other ways of making that more efficient and loads of things.

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Alan: Funny you should say, splitting into two piles and then each pile sorted maybe with an insertion sort. You’ve just described the built in sorting algorithm that’s in the Python implementation that we all use. It’s called TimSort after the developer, Tim somebody, I’ve forgotten his name, but it will break down an array into sub lists and insertionsort them and then merge sort them together. It’s a hybrid and a lot of Commercial sorting algorithms are hybrids these days

Dave: they are, and of course you can have that conversation about why would we want to do that, and this is A level, but you’re getting into efficiency and you’re talking about efficiency is also determined by the size of your data set, because guess what? If you only want to sort 10 items, fill your boots with a bubble sort. 

Alan: Absolutely. 

Dave: Because a quicksort will not be more efficient for you, so it’s about the size of the data set. 

Alan: And about the nature of it, how sorted is it, and is it sorted upside down, for instance, and some algorithms are terrible at that. If it’s nearly sorted, a bubble sort is quite quick, it doesn’t have to do very much, but if it’s upside down, a bubble sort is terrible. 

Dave: Absolutely, and even at GCSE you could have discussions about efficiency just with a bubble sort in the ways that you’ve described and even at a code level you can say what if you code the bubble sort with two for loops instead of a while loop and a for loop?

What would be the impact of that? And I would probably only do that with my most able students, the ones that, had a love of algorithms and they were really keen to learn and were going to go on to A level. I wouldn’t do it with everybody, but you can do that. You can go there. Even with simple algorithms, you can say what would happen if 

Alan: Yeah the thing is, last summer OCR did ask a question about the nature of the loops in an insertion sort, didn’t they?

And the question was, I think, I should know this because I marked it for OCR, Why is the inner loop a while loop in an insertion sort? And. And that was, that did, let’s say did stump a lot of candidates and that was a tricky one because I think it, I don’t think OCR had asked a question that deep about sorting algorithms for some years.

Dave: No, it catches people out because in the specifications obviously it just says searching and sorting algorithms, bubble sort, insertion sort, and so you teach the algorithms, but. You don’t think about what’s the depth I need to teach us about, the implications of changing this and changing that.

So it can catch you out very easily. Another nice little activity is to just give them the code and say this is. The code for the algorithm that we’ve been having a bit of fun with. But we’re going to see how efficient it really is. So here’s a line of code that’s going to create an array of a million random numbers.

Okay, we’ll do that. I’ll give you that code. And then What I want us to do is I put a little counter variable in there. So every time it has to check something, it’s going to add one to a counter. So let’s just put that in then let’s run the program and actually see how many checks it made.

And they run the program and it made several thousand checks. Brilliant. Run it again. Several thousand checks, but they’ll notice that the might be different because as you say the nature of the data sets and if it was a random number or we can then sort the random numbers which you can do very easily in Python in one command.

So they can see the effect on the changing data set on the algorithm without actually having to do anything other than insert a single line of code. And I get mine to then for example, plot results on a chart in Excel. So I say here’s the code for the bubble sort. Here’s the code for the quick sort.

Again, this is A level. What I want you to do is create a data set of, of. Random numbers or ordered numbers, whatever, and then I want you to plot the efficiency on a chart for me, and so you conclude, you can conclude which is more efficient just by running the algorithms, and they really enjoy that.

Alan: Yeah, I’ve done that before. Yeah, so you you basically you’re wrapping the call to bubble sort or whatever in another loop and passing to it different sized arrays. Maybe a growing sized array from 10 to however many you feel your computer can deal with. If you’re running it locally, you’re alright. I’ve done this on Repl.

it Before and then I get kicked off, don’t I? Because I’ve used all my cycles for the free free account on repl. it. So yeah, you can if you’ve got a class that you think are capable of grasping that, then you can get them to, really measure the efficiency. Of algorithms and compare them. And I take it 

Dave: Alan, I take it to the extremes as well, because I just love having fun with this stuff.

And I so I say to my students so we’ve studied the serious ones, right? If you call a bubble sort serious, but we’ve argued why it could be, right? Let me show you something really crazy. And I showed them the BOGO sort and the BOZO sort and I’m like, check this out guys, and you’ve got to be careful with that because the trouble with having fun is that sometimes the students latch onto and remember the bits that were not important.

Coming back to abstraction, they remember the things that are not important because they were funny. So you’ve got to be a bit careful with that. Yeah, with the right class it really works. 

Alan: I was talking to Andy Colley a couple of weeks ago, and he likes to show his students the most ridiculous user interface competition every year. And these things, even though they’re bonkers, and obviously they’re designed by crazy geeks with a geeky sense of humor, rather like us, they do demonstrate some of the principles that we need to talk about. What’s the best way to understand efficiency? We’re probably writing the least efficient. code you could possibly write to demonstrate how bad it could be.

Dave: I say to my A level students as a bit of work, for outside the classroom that senior leaders like them to engage with, I say You need to contribute to my ministry of silly algorithms.

Yes. 

So I want you to create a silly algorithm. I’m not going to define for you what silly really means. You need to deliver a silly algorithm. That’s good fun. 

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Alan: Absolutely. Well, What I haven’t done, Dave, and it’s only fair seeing as you’re giving me your time for free. I don’t, we, we have agreed that this is free, haven’t we?

Um, um, I haven’t asked you, what’s new in the land of Craig and Dave these days, Dave? 

Dave: What’s new in the land of Craig and Dave? So we’ve got a video series on YouTube. From David Morgan, the lesson hacker. 

Alan: Oh yes, loving them. 

Dave: Yeah, so every week he’s taking a current affair in computing and trying to present it in five minutes in a fun and engaging way for young people. And then in the video description I’m creating, and I stole this idea from you Alan, I’m creating fertile questions in the video description so that teachers can use them to have discussions with their class. about the current affair in computing, but related to the specification. So that’s good, that’s happening.

Alan: Can I just say at that point, can I just give a hat tip to William Lau, who put Fertile Questions in his book five, six, seven years ago, and also Mark Enser, who wrote a blog for TES on it. That’s where I got it from, it wasn’t my idea, but thank you for picking that up. 

Dave: Yeah, and SmartRevise just goes from strength to strength. There’ll be loads of new features coming out for that this year. So we’re spread thinly. We’ve got lots of other things that we would like to do. 

But thank you for inviting me onto your podcast. I think the final thing I would say is that your book is great. How to teach computer science, I think, is excellent for teachers. How to learn computer science, I think, is essential reading for all students, and my recommendation would be get a class set, and I’m not just saying this because you’re the author, I genuinely mean it. Get a class set of these books, hand them out, that is your background reading.

Alan: That’s very kind of you to say.

Dave: If at A level you have to do scholarship work, you know, this work outside of the lessons, I’ll tell you what you should do. You should get the students to read a chapter at a certain period of time in the year and get them to present to the class something about that chapter.

And at a very basic level, it could just be a bullet point summary. At a more advanced level, it could be looking into the most recent bits of research or development in that area of study and anything in between really, but use that book as a way of engaging in the subject beyond the specification in a meaningful way.

Alan: No, that’s great. Thanks for the the support and listeners probably don’t know if they haven’t got the book that you did help a lot with that, Dave. Thank you. The, the how to learn book and thanks for basically proofreading it and writing a foreword for it because it was very kind of you. So yeah the other thing I wanted to pick up is You said you’ve listened to the previous podcasts. I just wondered what your reaction was to the story that I revealed to Harry and Anna last week. I can’t, I don’t think I’ve told you this, but I did get asked in the classroom, when we did that unscripted video together a couple of years ago, , and , my class at the time were very, Excited about this, about me doing a collab with Craig and Dave, as they called it.

Um, And they asked me questions about you. And one of the questions was, are Craig and Dave married, And, and of course I nodded along and went, yes, I think they are. And, and that caused a lot of consternation. Did you hear that last week? 

Dave: I did. And and when you said the word collab in a kind of Slightly awkward way as I just did then. 

Alan: I’m down with the kids. 

Dave: I know you are. I noticed Harry’s little snigger at that point and I thought, yeah, that says everything to me. But yeah, people used to think that we were just the same person because all they heard was our voices on the YouTube videos. And actually on a video Craig’s voice and my voice sounded quite similar And so the students were convinced that we were just one person for a long period of time then of course once we revealed our faces, the rumour mill then went into, Oh, they must be partners. They must be together. Uh, No. Craig’s married to someone called Sam and I’m married to someone called Carol. 

Alan: Okay. Well, I’m glad we cleared that up. Um, Good stuff. . Smart revise you mentioned. I’ve used it for ages it just keeps getting better. And you know it’s quite affordable. I wouldn’t teach without it. I do sound like an advert, but I couldn’t. I couldn’t teach GCSE and A level computer science without it these days, so go and check that out. That’s all the plugs for one day, I think.

Dave: I think so enough of that. 

Alan: Enough, so it’s been lovely to talk to you. I’m just looking at our list here.

Oh, misconceptions. So just briefly then. while we’re on algorithms and computational thinking and so on, what misconceptions, do you see happening? 

Dave: Yeah, I think one of the biggest ones for me, and it seems to catch teachers out as well, is the idea that when you’ve got an array, that the first index is always either the X or the Y when you look at a table of data. So is the first index the column or is it the row?

And it doesn’t matter. As long as you are consistent. It doesn’t matter whether it’s X comma Y or Y comma x, but it seems to catch everybody out I that the first one must be the row, or the first one must be the column. 

Alan: I think it comes from Python learning, Python, which doesn’t really have arrays and populating a list of lists in Python. In the top of your code necessarily means you do it one way, not the other. And so you do students equals open square bracket. Then you open the second square bracket and do Dave comma computer science or whatever. Close the square bracket and so your students will be in rows in that list of lists in Python.

And so the first index would be a row I do try and fix this one so I will take that code and just order it differently so the student names are all across the top row and the data is on the next row and so on because there’s no reason why you wouldn’t do it that way.

Dave: The other misconception, coming back to algorithms, is the misconception that, for example, a binary search must always be better than a linear search. No, because if the item you’re looking for is the first item, in the data structure, then a linear search will, in that case, always outperform the binary search.

So that’s a misconception. And then leading on from that, the misconception that a linear search has to start from index zero. It could start in the opposite direction. And in fact, there is a version of the linear search that actually looks from both directions at the same time. There’s a misconception in computer science that there is a way of doing things.

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Alan: Yeah. 

Dave: And there isn’t. There are multiple ways of doing the same thing. It’s just some are better than others and some are better than others in different situations and it gets confusing. 

Alan: So a standard algorithm is really a broad Concept, it’s a, it’s more like a family of algorithms that follow a certain pattern.

And the other thing that people ask me all the time is, when you do a binary search and you find the midpoint, do you have to go up or down if there’s an even number of. And I say do whatever, either way, but to code it, normally you’re going to use floor division, aren’t you? And go down, but it doesn’t actually matter because you’re going to find the item.

The only difference might be one or more fewer comparisons in one direction than the other, but that will all even out when you’ve got a million items to search that doesn’t actually matter. 

Dave: Yeah, the other misconception is that in maths they might get taught, for example, the Hoare method of a quicksort at A level, and then in your class you teach them the Hungarian method. And they’re different and they say quicksort and you say no it’s a variation of a quicksort because you’ve also got the Lomuto method. And those are just three methods and you know what actually current research into quicksorts that are using multiple pivots and not just one. There are actually hundreds of quicksort algorithms.

And as soon as teachers and students realize that it’s eye opening that there is no right answer. And I think the thing that fascinates me the most at the moment is that the research in this area hasn’t stopped just because we’ve got these standard algorithms and we’re teaching bubble sorts and insertion sorts and quicksorts. There’s an assumption. And a misconception that the research has stopped. No, it hasn’t. And actually in quantum computing there’s active research right now in turning some of these searching algorithms into even more efficient algorithms than we’ve got at the moment. 

Alan: Absolutely. If you are teaching A level, there are multiple Quicksort implementations. Learn one and make sure you can explain it really well and then tell your pupils that they might encounter other ones, but the basic principle of choosing a pivot and moving things either side of the pivot and then repeating that, Usually recursively, that’s a quicksort, but it can be implemented many different ways.

Dave: So you’ve done exam marking Alan, perhaps you can clear something up for us as well. Because there are so many different methods that you could take with some of these algorithms, the mark scheme will show a method, perhaps the most Obvious method that the exam board would perhaps like you to teach to avoid any confusion.

But what if a student actually gives their answer using a different but same family of algorithms? So for example, the mark scheme’s got a horror approach to a quicksort, but you see a Lamutu version as an examiner and you recognize that as a valid quicksort. What do you do? 

Alan: I think so. First of all, I’ve only marked GCSE papers, but I’ve had the OCR training, yes, a valid implementation that answers the question will be given the marks. I think there’s quite a lot of leeway there. So if it solves the problem, that’s basically what we’re looking for. 

Dave: And that’s the other misconception in teaching at the moment, that the mark scheme is the answer. 

Alan: Yeah, yeah, it’s a tricky one. So I do support a lot of teachers, in my other jobs, I work as a PDL, a professional development lead for the NCCE, and I deliver training and so on.

And I do encounter this, and so if, The teachers listening to this, please try to understand the concepts that you’re teaching rather than teach for the surface level of understanding of passing the exam. That is, in that sentence, is like a whole lifetime of learning, but it is really important that, it’s why I wrote the books I wanted to get these, Conceptual understandings of computer science across to teachers and pupils rather than just, oh, trying to pass exams. 

So, Yeah well, that was, that was brilliant. Thank you Dave for coming on and yeah, I knew, I knew we’d have a good chat about algorithms because you did, you wrote the book on it, talking of books, the, the, algorithms book available from craiganddave. org as well. So, um, So that was really good. So, uh, have you got any plans for Easter? 

Dave: Um, no, if I’m 100 percent honest with you, I’m not sure I’ve thought that far ahead. Thinking ahead, oh 

Alan: dear! Thinking ahead! 

Dave: I’ve got to be honest, OK, because the community out there probably now thinking how Dave lives such a sad life. He’s there looking at algorithms as if they’re art and he’s got nothing planned for Easter. I did. in the February half term go to Jamaica, we had our sort of Easter break in, February. 

Alan: Nice. . Well, we are tomorrow going to London to see Moulin Rouge, the musical. 

Dave: The West end’s phenomenal, isn’t it? An amazing experience. 

Alan: Yeah. Haven’t seen the musical yet. Love the film. Yeah. So looking forward to that. There’s another abstraction. How do you produce a film on stage? You know, how do you produce a book or a play on stage? Because you’ve got to abstract everything down to what will fit into the area of the stage. . This is me. All I could ever think of these days is abstraction. I was talking about Lord of the Rings with other Lord of the Rings fans recently, and we agreed that it was about the best series of movies that could be made from that book, but it was always going to fall desperately short because, I read Lord of the Rings and it probably took me, let’s say 30 hours. How can you make even nine hours of film out of what takes you 30 hours to read and even a minute’s reading could be an hour’s worth of movie .

Dave: The director has to decide what’s important and what’s not important at the end of the day. Which is a form of abstraction. There’s another example you 

Alan: Um, Well, we got onto abstraction in movies and everything then, , just as I was winding up. So I think now I do have to wind up and it’s been lovely to talk to you, Dave. And no doubt, I’ll ask you back on to talk about something else in the future but thank you very much for coming on. 

Dave: Thank you. It’s, uh, it’s been an honour. Thanks, Alan. 

Alan: You’re welcome. 

Dave: All right then, mate. Anyway, enjoy. Thanks, Alan. Bye. Cheers, mate. Bye. 

That was another epic. I’m off now to drink 32 pints of milk. And read about the latest advances in computing. Because I’m just as much of a geek as Dave. Quantum computing scares me though. Apparently you can store information, not as binary digits or bits, but in quantum bits called cubits. What do I know about cubits? Very little.

 How do you make a computing teacher happy? Give him arrays. Thanks to Andy Colley for that one, I did think he was going to say, don’t get his backup. but no it’s give him arrays. We don’t need much, just a bit more cache. Quick reminder that I don’t have any sponsors only you lovely people. So please. Go to my website, HTTCS to online and find out how to donate a little bit of cash. Buy me a coffee for three quid. That’d be very kind review my books on Amazon. You can use the discount code. HTTCS pod that’s HTTCSPOD on the website for the book, Johncattbookshop.com. That’s the publisher’s website, JohnCattBookshop.com. And you will get 20% off everything. Don’t forget there’s books by me, but also Mary Myatt, Tom Sherrington, Adam Boxer. And many, many more brilliant people. I will see you next week on the pod.

And until then have a good one.

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HTTCS leadership podcast teaching and learning

Podcast Episode 7: “How Hard Can it Be?”

A new episode is live, featuring the wonderful Rachel Arthur of Teach First. Listen now here:

Transcript

Alan: Welcome to how to teach computer science, the podcast. This is episode seven. How hard can it be? I’ll be answering that question and many more. With help of today’s special guest. 

Rachel: Nothing’s real. What is real anymore? No. We’re all in the 

Alan: matrix, and maybe I’m a deepfake. Oh, well that would just be the 

Rachel: twist, wouldn’t it? 

Alan: More on that in a moment. My name is Alan Harrison, and I wrote the books how to teach computer science and how to learn computer science available in online bookstores, more details at the companion website. HTTCS dot online. That’s the initials of how to teach computer science HTTCS dot online. And if you haven’t bought the books yet, why not? We’re talking about training to teach today. I remember my teacher training. Well, and I was already blogging at HTTCS dot online slash blog. So I can look back at those days. 

And so can you, here’s what I wrote. In 2016. About this time. Last year, I was reveling in the joy of my first ever taught lesson. That lesson was exciting, a bit crazy and lots of fun. It went as well as could be expected. No, really. I was treated to some mentor feedback containing the words, the best first lesson I have ever seen. 

Thank you so much, Sarah. Today I’ll call that a punch the air day. But trust me, teacher training got much harder after that included one lesson. I will never forget. I had asked the year eights to complete a task in Excel and print it out, forgetting that a full print of my Excel spreadsheet would be six pages. Each. Times 30. On a printer that didn’t do double-sided and I asked them to start printing with five minutes left of the lesson. And there were no names on the printouts. 

 So as my mentor sat watching and yes, quietly laughing at me, trying to organize a queue for the printer with enthusiastic kids, grabbing individual sheets and shouting, whose is this waving lots of completely identical pieces of paper. I realized teaching is a roller coaster. Some days you’re up there in control, conducting an orchestra of kids, all making progress. 

 I seem to have mixed my metaphors back in 2016. Other days, nothing will work and the music will sound awful. That day. I went home feeling pretty down and metaphorically kicked the dog. Quiet password 15 hash. Don’t worry. If you have a kick the dog day know that you tried your best reflect, get advice. Change things, fix it for next time. 

The only bad teacher is the teacher that repeats mistakes. The teacher that doesn’t reflect refuses, advice and rejects growth. Be the teacher that reflects on every experience, learns from their mentor and from other teachers and changes things up for the next lesson. So not bad advice from eight year ago, me. But. My guest today has some cracking advice. Probably much better than that. And some of it isn’t about babies and toddlers. Let’s hear what happened when I spoke to Rachel Arthur and asked the question. How hard can it be?

Rachel: Hi Alan.

Alan: Hi, how are you? 

Rachel: I’m good, thank you. How are you? 

Alan: Yeah, great. How’s the little one? 

Rachel: Yeah, she’s good, thank you. She’s actually just fallen asleep, so I’ve just handed her tentatively over to my husband, so he can wander around holding her until we’re brave enough to attempt putting her down. Hands very much full, but it gets easier, I think. Yeah. 

Alan: Yeah. It gets easier in many ways and then harder in others. But you do get a bit more sleep soon. 

Rachel: Yeah. Yes. Yes. That’s my main. 

Alan: We were very lucky. 

Rachel: at all . She’s sleeping through the night at the moment yeah.

Good. I can’t complain, we’ve been very lucky with both of them so.

Alan: We were quite lucky. We went off skiing, with the in laws when, our eldest was like six weeks old, 

Rachel: I think you just have to get on with it, don’t you? We’re going to the lake district at the weekend and we’re like, why are we taking a 10 week old on holiday? This is a nightmare. Like all the stuff that we’ve got to pack. We’re like, if we don’t go, then you just, it’s just the same nightmare at home. 

Alan: We went to see Michael McIntyre and he said your single friends, they, they phone up and say, you going for a drink? And when you’re single, you go, yeah. You put the phone down, you walk out the door. And like when you’ve got kids, you have to pack a small bag with everything in it that you own, just in case your house isn’t there when you get back. 

Rachel: It’s so true. My husband was just like, Oh, I think we’re going to have to get a roof rack I was like, 

Alan: just to go out for the day. Yeah. Sorry. We haven’t got enough stuff. Yeah. 

Yeah. 

Rachel: Oh, but the podcast is going well. 

Alan: Have you been listening? 

Rachel: Yeah, I’ve not listened to all of them but our night feeds have been up listening, tuning in, so it’s going really well, isn’t it? Like you seem to be getting a lot of support and a lot of people are engaging with it, which is lovely to see.

Alan: It’s been great. I’ve had comments like, oh, this is the right thing at the right time, and just, computing teachers need a bit of a boost right now, and I think all teachers need a bit of a boost right now. I think 

Rachel: it’s something that’s the way you do it is really nice, but I think it’s something that’s specific for computing teachers as well, because I think there’s a lot of generic teaching stuff out there, but it doesn’t really apply to computing a lot of the time, so it’s nice to have something that’s specific.

Alan: I was thinking of doing it for ages, and then two things happened. Tom Rogers, who runs Teacher Talk Radio, hassled me about doing a radio show, and I never ended up doing that, but I might yet. Tom, if you’re listening, I might do that and the other thing that happened is I’ve been listening to Adam Boxer and Amy Forrester. Yeah, they’re really good. Yeah, and thinking, oh how hard can it be? And I was listening to them going, oh I need to do this now.

So I just need to start recording it. It started off at 25 minutes and then the latest ones are like 43 minutes. Yeah, 

Rachel: and is the edit a nightmare or has it not been too bad? 

Alan: Being a computer geek like I am, I have discovered some software. I did my research, I googled a lot of things, and then I found some software called Descript, which I’m now paying 24 a month for. Descript does something amazing, which is I will upload this recording into it, it will transcribe, and then give me a page which edits like a Word document, and I edit the words. And it deletes the audio that matches the words, so I’m not sitting there like Audacity cutting and splicing audio and looking for the peaks that match the words.

It’s done that for me, so it’s actually much easier. So never one to make life easy for myself. Now that I can do that, I decided to edit in lots of music and stupid things as well just to make it entertaining. So 

Rachel: yeah, I think that’s what. What people are saying about it, people are enjoying listening because it’s different and it’s enjoyable and it’s light. It’s not another heavy, let’s have a deep dive. I mean, We can talk about pedagogy, but 

Alan: yeah and, we will, we’ll talk about computing. Teaching and pedagogy and stuff like that, but we’ll try and chuck in some jokes, because like Andy Colley said, there’s not many jokes and most of them are quite corny, so I’m saying to all my guests, if you can, if you’ve got any computer related humor, then, do bring it along.

Rachel: Oh, I need to be more prepared. I’m not, oh, 

Alan: I didn’t. 

Rachel: I’ll have to I don’t want to let your audience down with my lack of computing jokes, but I’ll see if I can come up with something. 

Alan: Have a think as we’re talking and anyway, it’s all right. I’ll edit some jokes in later. Yes. I’ll tell you what, I’ll put your voice through an AI deepfake machine. That 

Rachel: would scare, scare, horrify and it’s super exciting isn’t it, things like that, but there’s some really The accuracy of these deep fakes now, you could have me saying anything on here, couldn’t you? In fact, you even need me here. I can just go and you can just type in. 

Alan: I think I’ve got enough there now, Rachel, so you can go and I will just put words into your mouth for the next 20 minutes. Thank you very much. 

Rachel: Perfect. I’ll go get some sleep. 

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Alan: Good. It’s lovely to talk to you and yeah, I’ll catch up again soon. Yeah, right now I’ll start the AI deepfake Rachel and talk to that, right?

Hello AI deepfake Rachel. How are you? 

Rachel: I mean, What would a deepfake say? It would probably go very stereotypical and say I am fine, thank you. It’s definitely even better than that. 

Alan: Yeah, this has got a bit surreal, so I think we probably need to get back to the script. Do we have a script? No, not really. I had some questions I was going to ask. So the first thing is I’ve been talking to you like, like I know you, because I do, but my listeners probably don’t. First of all, Rachel Arthur, nice to meet you would you like to tell everybody what you do for the listeners, please? 

Rachel: Yeah, what do I do?

So I am Head of Computing at Teach First. So that means that I am in charge of the initial teacher training programme. That we run and I get involved in all the teacher training materials that touch computing. So whether it’s our NPQ offer, which is more for leadership or our training materials for primary teachers or for secondary teachers, they all fall within my remit, my team, so that’s what I spend my days doing.

But before I was in teacher education, I was a teacher myself, so I worked in teaching. Secondary schools in London Leeds and Oldham, sunny Oldham, over my teaching career and eventually became assistant head after, the usual route of head of department, subject lead, all of those things.

So yeah, that’s me. 

Alan: Good stuff. So teach first then, which is one of the routes into teaching. So what, if someone’s listening to this thinking, I want to train to teach computing what would their choices be?

What would they have to consider? 

Rachel: Firstly, please do. Absolutely do it because it’s a brilliant subject and there’s so much joy to be found in the computing classroom and you won’t regret it. But there’s loads of different routes.

 They split into school centered training, so like Teach First do, or like they call it a SCITT, but school centred initial teacher training, the training is done predominantly in the school setting, but you get your qualification at the end, like you would do through other routes, or you do a more traditional route, like a PGCE or an undergraduate degree where you train with the university and with that you do usually two or three placements over the year where you get to go and experience different school settings. 

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So most of the routes into teaching are either the traditional university route or a school centred approach either through Teach First or one of the other training providers or the school running them yeah, you get to train in a school, but you are usually spending the majority of your time just in that one school rather than across multiple settings like you would in a University course. 

Alan: Do you get to go to other schools for brief placements? 

Rachel: Yes, so on Teach First we do a two week and sometimes it’s extended depending on the circumstances of the trainee but they do a two week placement in an alternative setting and they also do a primary placement so if you’re training to be a secondary teacher you also do some time in another phase which is Always interesting to see, see how they get on in a primary setting as well. They do get that kind of breadth of experience but it’s you are treated as an employee. Oh, hello. 

Alan: Sorry. This is what happens when I do podcast recordings in the evening. This is Casper, my Patterdale terrier, who decides he wants to get In on it. 

Rachel: He wants to train, to teach, he’s so intrigued by what we’re talking about.

Yes, one second. 

Alan: Oh God, yeah, that’s not great podcasting, is it? Here’s my dog on the Teams call, and he chose not to even say anything. There you go. I’ll edit some, so I’ll edit some dog barking in later and that’ll make sense to the listeners.

 You see? Magic of computing. None of this is real. 

If you are grateful for my blog, please buy my books here or buy me a coffee at ko-fi.com/mraharrisoncs, thanks!

As I say, you know, I’m talking to a deepfake, so you know. Um, So anyway, yeah, my placements were fun, I don’t know if I’ve ever spoken to you about this. But my placements, if I can just talk about them, one of them was right at my doorstep, literally just a stone’s throw away which was handy so I could roll out of bed and just rock up. And that was nice and it’s a nice local school and that was quite, what should we say, easy first placement in the sense that there wasn’t a lot of behavior challenge. And then, I don’t know if you ever saw Educating Greater Manchester? 

Rachel: Oh I did, yeah. Oh 

Alan: yes, so that school, so I was there, it was called Harrop fold then, so that was my. Yeah, that was my second placement school, so I was there. So that was a interesting school. So it’s good to have a contrast. So it’s nice to know that, you spend some time in another school and see some of that on the Teach First program.

Rachel: Yeah. The Teach First program We deliberately place our trainees in, underserved communities, so where there’s the greatest need for the highest quality of teachers, and often in schools that people wouldn’t necessarily choose to teach in, it wouldn’t be their first choice, it might be a more challenging area, for many reasons and we find that our trainees absolutely love the schools that they’re placed in. I did the teacher first program myself when I was training and I trained in an amazing school called Carmanna in Leeds, which is, it’s an excellent school and it’s in an underserved community and that’s why it’s a Teach first school, but the staff and the pupils there were fantastic, but I went to, I won’t name the other school I went to, but it was a leafy Very privileged school and I found it really, I thought I’m going to love this.

It’s going to be really great, but I remember saying to the pupils has anyone got any questions after I just explained something and no one put their hand up and then I was. I was doing questioning with the class and nobody was coming back to me with anything, and I was expecting, I was so used to all these characters and the banter in my classroom, so it was quite a surprise, but I found I got through a lot more content, so I don’t know what that was.

Yeah, 

Alan: that’s one thing. Yeah, a colleague said to me on my PGCE who got placed in a high performing school an affluent area, he said, I’m not planning enough stuff for the lessons because they’re just like eating it up like a sponge and I need to put more challenge into all my lessons and it’s breaking me, so he’s basically teaching maybe twice as much content in a lesson, but I know what you mean about not getting that feedback.

I think there can be in a school where the pupils are used to success and getting everything right, and there can be a reluctance to fail, so a reluctance to to try and to answer questions and get it wrong there can be an absence of culture of error in environments like that. Do you find that?

Rachel: Yeah, absolutely, and I think there’s this massive misconception that More affluent areas would be higher performing and that isn’t necessarily the case, especially in computing. I think you can really see that success in any, with any child from any background. And that’s the beauty of computing, isn’t it?

But that absence of wanting to be seen to be failing can really cause problems when you’re teaching programming because if they’re not willing to give it a go, then that fear of failure or fear of, having to debug a piece of code, can really put pupils off, which is a barrier to learning it, in itself.

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Different challenges in different places, like just a different type of challenge rather than People say, Oh, that school’s really challenging. And I don’t, I think all schools have their own challenges. It just depends what flavor of challenge you’re best equipped to deal with. 

Alan: Absolutely.

Absolutely. I think, I mentioned culture of error then and the reluctance to try and fail is a real barrier and you see it I ran an escape room. If you go on my blog, the instructions for building it are there. I basically bought a pirate’s chest type thing and one of those lockout hasps which is a a lock with six padlocks on it and each of the padlocks had a different clue and so on and the kids loved it and my brilliant year 10, my brilliant GCSE class they loved it and then I tried it with like year 7 and 8 And they just didn’t want to try hard at solving clues, and they were looking at a clue, and it was, a clue to Ada Lovelace and her birthday, and that was the combination on the padlock, and they were looking at them going, I don’t know what that is and just wanting to either know or not know and not to actually think about it. These were puzzles and they, there was zero resilience and zero willingness to work out a puzzle from these kids. And I found that really strange because I always loved puzzles as a child, but the, I think, What I’m saying is probably the resilience has taken a knock and maybe that’s a COVID thing. Yeah, 

Rachel: I think it’s massively important in a computing classroom that resilience, even more so than other subjects, I think it is often not thought that Resilience and computing go hand in hand, especially by non specialists or people from other subject areas.

And when you’re talking about, building cultural capital or links the real world and that resilience for the workplace and for the future, computing is the perfect place to demonstrate that. But I think, It’s not always obvious to other people, so it’s so important to instill that, and it’s really similar to PE in some ways, you’re learning a skill, you’ve got to keep practicing and practicing, and you’re not going to shoot on target in your first game of football every time, so you know, you’ve got to keep going and keep trying

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Alan: yeah, I was talking last week to Harry and Anna Wake of Mission Encodable they were saying about, sometimes learning to program can be dull. And I think I’ve been guilty of teaching programming in a very dull way and just do, you do hello world and then you do what is your name? Hello Bob or whatever I call the program. Hello Bob. And then you might ask a quiz question. What’s the capital of France? I don’t do that anymore. I do turtle graphics and, we do fireworks and stuff like that. And I do text adventure games and things because kids can write a text adventure game in 20 lines of Python. And there’s a world that didn’t exist before with monsters in it, you know, and that’s, 

Rachel: Yeah, 

Alan: so that’s what I do now. I don’t do hello world and hello Bob and what’s the capital of Paris anymore. I do, give your monster a name and give him a, a thing to say. Does he bark or does he grunt and all of that? Oh, they’re making monsters in a text adventure. 

Rachel: It’s so much more inclusive as well to teach like that because, I am a massive Advocate for engaging as many girls and as possible in computing and anyone from any background getting the most diverse cohort that we possibly can.

I think it’s so important and what you’ve just described is making it relevant, isn’t it, to those pupils and adapting that lesson and that learning so they can find a hook that they’re interested in. And that makes such a big difference for all of those groups that, aren’t traditionally choosing to do GCSE computer science, but that’s where I’ve seen the biggest changes in my classroom when I’ve let kids pick what they’re interested in and because computing is so great if you can, it could be.

It could be anything from a text adventure game about robots or pirates or princesses or whatever anyone’s interested in, all the way through to, we used to do a chat for Ordering a pair of jeans on ASOS because loads of the kids were online shopping and that’s what they were interested in.

And that kind of call and response from an online shopping website, they were interested in how that works. So just following the pupils interest really helps with that. 

Alan: definitely. So that’s how we teach. Programming, so coming back to teacher training then, so what makes a good trainee?

Rachel: Oh, anyone who is interested in learning, like I, when I first started in my role at Teach First um, three and a half years ago now I was talking to recruitment about What I wanted my trainees to be and what qualifications they needed to have and, the recruitment process for joining the training program.

And anyone that’s listening to this that works at a university will have had similar conversations like designing the interview questions for people training to teach. It’s a really interesting process. And they said to me, do you want them to have an undergraduate degree in computing? And I said, no, and recruitment said.

What? And I said they can do, that would be lovely if they did have a degree in computing and I’m absolutely here for that. However, it depends when they did their degree, because if we’re talking about career changes who are a bit older and did their degree a few years ago, it wouldn’t have been called computing then, it might have been called IT.

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You can call a computing degree so many different things, and actually there’s such limited links to the GCSE curriculum to a computing degree. I didn’t feel like it was a necessity for them to have it. I felt much more passionate that they were interested in programming and interest in teaching the breadth of the computing curriculum, which is often not talked about because we focus so much on programming and so many schools do Python, so Python programming, but there’s a whole other area of the curriculum out there.

It’s not just about that. So what makes a good trainee? What was I looking for? Someone who is Resilient, willing to give it a go, willing to learn and anyone that was willing to do a subject knowledge enhancement course to get their subject knowledge up to date, in terms of what is taught on the GCSE and A level specs was my main concern, rather than them having a specific degree, because it’s too difficult to map them all to the curriculum.

Alan: Yeah, no I tend to agree, and I speak as a holder of a computer science degree from 1989, nowadays there’s information systems and software engineering and games design degrees and all of these and they go way off piste compared to what’s on the GCSE.

So you’re probably right. I also said in my podcast episode with Andy Colley, he said he suggested computer science graduates are not always the best teachers. They are a certain type of people. And I knew what he was hinting at. And I said, yeah, I, to be fair, I didn’t hang around with computer science undergraduates. When I was at university, I hung around with archaeologists and English students and more interesting people than the geeks who spent all that. No, it’s true. There were lots of geeks on my course who were not particularly fun to hang around with. So yeah, I totally, yeah, I always say, if someone’s keen and that’s half the battle, isn’t it? If they have an interest in the subject, that’s really what you want. And having a different degree and, but also having some computing aptitude, could be a nice combination. 

Rachel: Yeah don’t get me wrong, subject knowledge is important. You’ve got to have a strong subject knowledge to be able to teach our subjects and I’m not devaluing any training route in terms of, you don’t need to have a degree to do it.

It’s definitely a nice to have, but I do think so many people are self taught in programming and all areas of computer science. Now, lots of people that have done our course this year have taught themselves to program during lockdown. And it was something that they picked up and started to do then. 

Yeah, but that all, so we’ve got someone who used to be an artist and has moved. to becoming a computing teacher, all the way through to people with really specific, really technical degrees in robotics or, networks. So there’s a whole array of people, and that makes it fun to design a course to meet everyone’s needs, but, we’re good at differentiating.

Alan: Talking of which, so breaking news, I haven’t told anybody this but, I am going to be delivering the SKE, the subject knowledge enhancement for Edge Hill after Easter, so that’ll be fun. So if trainees don’t have a computing degree then do you run a subject knowledge enhancement for them?

Rachel: Yeah, we actually wrote our own. So that was a really exciting project to take on a couple of years ago. So Daljit and Johnny and my team and myself wrote it together. So it meant that we could adapt it to make sure that it covered the breadth of the subject knowledge content that we wanted. But obviously. Trainees can do any Subject Knowledge Enhancement course. You can’t say that they’ve got to do yours, you just say that you’re doing a Subject Knowledge Enhancement course. So we get trainees from other universities coming to do ours and then you get, one of our trainees might work with you, Alan, and do yours and come to us after it and that’s absolutely fine.

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It means that non specialists or people who haven’t done a degree that’s where we say yes you need to do a subject knowledge enhancement course or you don’t and often we find those with a computing degree still need to do the subject knowledge enhancement course because of the lack of relevance to the computing curriculum. It’s really good to have people like you delivering them because it’s great to have some good subject knowledge experts delivering those courses because they’re long and there’s a lot of content to cover.

So yeah, 

Alan: there is a lot. Yeah. No I’m looking forward to it because one of the things I really enjoyed when I was head of department was the mentoring of computing trainees. And that’s one of the reasons why, I wanted to get involved in the teacher training. So the mentoring. I had some brilliant, trainees that, they were all brilliant in their own way, but some of them needed a lot more support than others. Um, It’s it was one of the most rewarding things to see a teacher develop. And then fly solo and. Yeah, it was great fun. It must be rewarding to be in that business all the time? 

Rachel: Yeah It’s a delight to watch someone go from the nerves of teaching their first ever lesson that they do in the summer with us all the way through to, loads of our trainees after their first year go on to become heads of department or go into leadership.

So to see them all flourishing and flying It’s lovely, but also to see their confidence grow just in terms of trainees that had never used Python before going to fully teach a GCSE class and seeing the success that their pupils then have because of having that teacher is brilliant. 

Alan: Yeah, that’s the thing.

Yeah, I feel it’s weird. I feel kind of responsible for the mess that the world is in because of technology, because I was obviously a computer scientist. No, partly responsible. I mean, It’s not all my fault, not all of it. 

Rachel: Alan, that’s a lot to take on your shoulders. Yeah. 

Alan: Yeah, it’s my fault guys. It’s my generation of computer scientists and who created, all the problems. So I feel like it’s partly my responsibility To nurture the next generation to solve all of the world’s problems that have been caused by technology. So I used to go into, I would go around and sell the subject and I would beg the head of maths to let me go into maths lessons and science lessons to, Before options evening to sell the subject and I would do a 10 minute, I would do a 10 minute speech and I would finish, thank you for coming to my TED talk, I would do like a 10 minute TED talk on what computing was and I would say, I would literally say to them, you need to solve all the problems that my generation have caused with technology, it’s on you, no pressure. 

Rachel: That’s the joy of the subjects, isn’t it? That they do have those opportunities to go. Yeah. Problem solving, and I think the impact that having a trainee in school, schools often worry and say, oh, we shouldn’t, should we take on a trainee teacher? It’s a lot of responsibility, but the results that those trainees get and the enthusiasm and time and effort and energy that they put into their classes, honestly, every single trainee I’ve worked with, I’ve never, I’ve never seen.

It, It might not always be perfect, but they do, I’ve never seen anyone work as hard. So it was, no, 

Alan: I can say this now with absolute certainty, it was always a net benefit to my department having a trainee or two, which we had once we had two at the same time. Honestly the value they bring is far greater than the cost to me as a mentor or a head of department.

And I would sit at the back of the class and I would make notes and observe, but I’d also be getting on with other stuff like I might probably not marking because that would need more brain power. But I never marked anything anyway. You’ll have heard me talking to Andy Colley a couple of weeks ago where, I just did multiple choice quizzes all the time.

And hey, I got away with it. But, I’d be sat at the back of the class observing my trainee while getting on with other stuff. And And they would help in every way they could. They ran after school clubs for me and all sorts and they loved doing it. So yeah, some of them have been a challenge, but it was a challenge that I always enjoyed.

Rachel: Yeah, and I think there’s a big shout out to all the in school mentors because they are the ones that spend every day with our trainees, with all trainees in school, and they have the biggest impact, like my mentor Sayeed. If he listens to this, that would be amazing, but he completely made my training year.

I don’t know what I would have done without him. He was, he’s an incredible computer science teacher and he held my hand, he wiped my tears, he made me more cups of tea than you can imagine, but he was a fantastic mentor. And I wouldn’t be the teacher I am today. I still think of things that he taught me and things that he said and displays that I never had as good displays as I did when I was a trainee.

Alan: Well, that’s, That’s true. Yeah, you could get them to do that stuff. I know. Yeah, it was always very planning lessons as well and creating resources and creating quizzes. So like I say, I relied heavily on multiple choice quizzes, but I think they’re incredibly valuable if you do a decent multiple choice quiz.

And so I, my trainees would love making, quiz questions and past paper type questions and stuff all the time. So that was great. Yeah no, it was Really good, a lot of my trainees have gone on to get jobs as computing teachers, which is great because there’s hardly any of us!

Rachel: When I’ve the mentor trainees in school as well. I’ve definitely seen that. They, sometimes I’ll go and watch them teach one of my lessons, like you’re saying, sat in the back of the class, and I’ve thought they’ve explained that so much better than I ever would have, and then I find myself stealing their resources or their ideas. It’s definitely made me step up as a teacher. 

Alan: The other thing is, because like I say to the kids, I’m 103, and, I do, actually that’s no word of a lie and I really should stop doing that, but I used to say that a lot and the kids in year seven would go, really? They’re all whispering to each other, he’s 103, and I shouldn’t really tease 11 year olds like that, but I did used to say that, you know me, I’m 103, My point being I’m 50 something and, I’m trying to be down with the kids, but I’m never going to really be, I’m not going to be legit like some of the younger trainees are, you know, my lessons are never going to be described as sick, no matter how hard I try.

Rachel: Those multiple choice quizzes sound excellent, I’m sure. 

Alan: I’m sure they they did enjoy. I discussed this actually on an earlier podcast about going off at a tangent and just going off on stories, which kind of became the theme of the podcast anyway. But, and so they knew how to get me off on a tangent all the time.

And they’d say, tell us more about the robot apocalypse, which was of course my favorite subject. So I used to, I used to say to kids when I was doing my options evening speech, I would say, you, you need to, Take computer science because we need more humans on the side of of humanity in the robot apocalypse and all of that. So, And so they would say, you know, tell me about the laws of robotics, sorry, 

Rachel: with AI, it feels like we’re getting closer to this robot apocalypse than ever before. 

Alan: What was I saying? So I was down at the Oxford Leadership Conference. And I was at dinner the night before with, Jane Waite and others. I’m dropping names now. And we were talking about AI and whether AI will become sentient and, and whether AIs will need rights and will need to consider the rights of robots, basically. And Jane was incredibly skeptical and I still stand by it. I think we’re going to have to, I don’t think there’s anything unique about humans that can’t be replicated in machines, but maybe that’s the computer scientists in me.

So at some point we’ll have to grapple with the rights of robots and stuff like Isaac Asimov predicted. Do you think? 

Rachel: This is a big, it’s a big question. I think Jane Have I got you off 

Alan: your favourite topic? Have I thrown a curveball at you, Rachel? 

Rachel: No, I’m here for it. Jane is the, an expert in the research on it, so I would never go against anything. Jane’s literature review, if you look, if you’re looking at AI computing, the literature review that she has done, and the work that Ben’s done at Raspberry Pi on AI is excellent, so they would be my go tos on that. But I think, will we ever have to have rights for robots? I don’t know, because I think everything is, anything that you program is, Like a version of reality rather than someone actually having thoughts, feelings and experiences themselves. So would a robot ever have feelings? Probably not. And emotions, but can it replicate them really well? Yes. Yeah. I don’t know, but it’s becoming very iRobot, isn’t it? And I’ve seen how those films end. And I 

Alan: love this. I don’t think there’s any right answer. And yes, I totally agree. Jane Waits done some fantastic research and, and is very knowledgeable about this subject. But I think the topic of robot rights is more philosophy than computer science. 

Rachel: Yeah, 

Alan: I speak as someone who read a load of sci fi as a kid. So I’m come from Isaac Asimov’s three laws of robotics and stuff like that. But I have to say your response there, Rachel, was. Absolutely what a deepfake would say, so you know.

Rachel: Well, So 

Alan: I don’t think you’re, I don’t think you’re real at all. 

Rachel: I always say please and thank you to Siri just in case because I am scared about what might happen in the future and at least if I’m polite to the robots in my life. Then I might have some favour in the future. So 

Alan: that’s my friend of mine said uh, uh, my friend of mine who said, I’ll have to go around and help me mum with Alexa the other day because she couldn’t get it to do anything.

And she said mom, just say what you said to Alexa and I’ll work out what’s going wrong. And she said, All I said was, Hey Alexa, can you put radio two on? There’s a love, you know, and she didn’t like mum. You just have to just say fewer words, you know? yeah. They’re not quite, not quite human yet. No. 

Rachel: Well, Maybe, you know, we’re definitely going that way, and I know with regional accents, Alexa really struggled with regional accents to start with, but it is got a lot better, so we’ll see.

Yeah. As 

Alan: you’ve probably heard, I’ve had um, Snoop Dogg, Mr. Beast and Joe Biden on my podcast so far. . 

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Rachel: Yeah. 

Well, 

Alan: um, I mean, It’s amazing how many celebrities wanna be on this podcast. I’ll probably get Taylor Swift on next week. 

Rachel: I feel honored. I feel honored to be here. 

Alan: Deepfake rachel Arthur on my on my podcast.

Um, Yeah. Um. Right, I know, yeah, this week’s gone a bit surreal. Um, yeah, we did. Why teach computing? Oh, we didn’t really. One of the things I’ll splice this bit in to the earlier conversation, if it makes more sense there, because I can do that with Descript, only 24 a month. I was on, actually, this afternoon, Rachel, the CAS Innovation Panel.

Rachel: Yes! 

Alan: And I know that you were obviously parenting at that time. 

Rachel: Yes, I was trying to attend but my very small baby had other ideas. 

Alan: So talking of dropping names, I was hobnobbing with Paul Curzon and Miles Berry and Simon Humphreys and Catherine Elliott and Sue Sentance and Carrie Anne. And um, oh it was lovely. And we were talking about, Why teach computing, and first thing I said was equity, because that’s me, and I said that it was the digital haves and have nots are actually becoming the can’s and can nots. People who know how to use technology and those that don’t, and that’s becoming a big problem, don’t you think?

Rachel: Yeah, and I think the digital divide is only getting worse, especially with AI that we’ve already talked about, but if we don’t have great teachers teaching computing, there is not access to computing in that school. That means that the pupils in that area can’t do GCSE computer science and what we’re seeing when I’ve been doing some research into why girls choose computer science or why they don’t and often it’s not offered is the first barrier.

So if it’s not offered in school, then it’s not an option for them, male or female. So that’s why it’s so important to teach it. 

Alan: And then those that offer it, gatekeep it 

Rachel: from 

Alan: the low prior attaining students, for example, or they gatekeep it from SEND students, which, My experience shows that, there’s no reason why anybody can’t do computer science .

Rachel: it’s an absolute frustration of mine when someone says, only pupils who’ve got this grade in maths or only high prior attaining students can do computer science, there’s a reason that there’s grades one to nine because any of those grades is an achievement in that subject.

It really, really, really is about access to a subject to inspire the next generation to go on to want to study it further. I’m really frustrated when I see schools putting barriers in place as to which pupils can choose it. I’d love to see more schools offering it and then no barriers in terms of who can take it and really considering where it’s been put in the option blocks as well, because it is an EBacc subject, when it’s being put against, the other bucket, then pupils are less likely to choose it and teachers discourage them from choosing it because it’s an EBacc subject.

So it doesn’t fill those buckets for Progress 8. Yeah, and they say 

Alan: things like, oh, you should be doing triple science, never mind computing. And, yeah, no, it is a tricky one. I think we’re on the same page on that and we want as many young people as possible, preferably all of them, to do some kind of computing qualification, computer science preferably, but we were talking this afternoon about whether the new government will have a look at this and whether we’ll end up with a computing or applied computing GCSE again.

Do you think that’s a good idea? 

Rachel: I think. It is an excellent idea because we need to have a balance computer science as a GCSE is trying to cover so much content within it. We know all the computer science teachers listen to this. It’s trying to be all things to all people and actually having, a computer science like technical GCSE, and then a more applied digital skills for people that are going to be using technology in their everyday lives, which we all are going to be in our jobs of the future, is really exciting.

Almost like a basic right that every people should be leaving school with. It should be alongside literacy, numeracy, and digital skills. So whether or not it needs to be GCSE, I don’t know. We can, there’s lots of different ways that you can do it, but it needs to be taught. as a right to our pupils to be able to use a computer properly.

Alan: I think it’s really important and one of the things that struck me when I was talking this afternoon was about, digital citizenship as a bare minimum needs to be taught and that’s, being able to participate in society as it becomes increasingly computerized and advocating for yourself in a computerized world from a place of knowledge and what immediately sprung to mind was the post office horizon scandal and all those victims of miscarriage of justice who had no means of defending themselves against evidence that They had defrauded, the post office because they and their lawyers didn’t have enough digital literacy to challenge the charges.

Rachel: It’s even, just the basics. Online banking, paying your bills, so the basics that people do on a day to day basis. Fake news, it’s not just a case of educating people about, you say digital skills and it, and people’s mind goes to, oh, we’ll do a touch typing course. That’s not what I mean, that it’s about, it’s almost something that falls between English and media and Religious studies even, it’s a worldwide awareness of all the challenges that are brought to us by social media and by having access to the internet in our pockets all the time. And all the fake news that is out there, and how to, you can’t move for being on Twitter or X and seeing fake stories about Kate Middleton at the moment, and I feel like 

Alan: there’s a 

Rachel: lot of false things 

Alan: going on. Yeah, 

Rachel: no it is. Our kids have been exposed to all of this all of the time, how do we protect them and look after them?

And, there’s the whole education for a connected world framework, but how well is that taught across schools and where do people fit in the curriculum? Yeah, 

Alan: it’s a great framework, but again, the education for a connected world is brilliant, but it’s massive. Yeah, huge. It’s huge, and in case listeners don’t know, Project Evolve is there from Southwest Grid for Learning to cover the whole of the education for a connected world framework.

It’s all there if you want to teach online safety very well in your school, but no school has the time for all of that, so. but we need to make the time somehow, but that’s, government and DfE need to do something about that. And I think we do need a refresh of the national curriculum and foreground some more digital literacy skills.

Rachel: If you want it to be taught, if you want anything to be taught in a school, you’ve got to make it someone’s responsibility, and there’s got to be. Points awarded, or achievement awarded, or something awarded for a school to take that seriously. Results, unfortunately, are the money that we work in as schools. It’s not on the curriculum, if it’s not on an exam board spec, then it’s not gonna be. 

Alan: Yeah, 

Rachel: In a curriculum, sadly 

Alan: true. That’s the way it is at the moment. So hopefully we will get an applied computing type qualification. I did hear what you said there about, it’s not touch typing.

I think a lot of schools try to put pupils on a vocational IT alternative because it’s easier. And I’ve taught CIDA, I’ve taught. Cambridge Nationals IT. I’ve taught creative iMedia and they’re all very hard and full of writing, which means they’re not actually particularly suitable for pupils that we believe are going to struggle with computer science.

There’s no easier. There’s quite a lot of literacy involved for a start, so it does annoy me that it. ICT or even computing is still seen as ICT and is still seen as some kind of vocational, 

Rachel: and the screenshot qualifications, as I call them, where you end up with reams and for those that haven’t taught them, you end up with reams and reams of screenshots of evidence from pupils.

Yeah. They’re not actually. Oh, I’ve done 

Alan: some research on software. No, you’ve just googled stuff and screenshotted it and written it as if it’s your own. Yeah. Oh, I found some soft. No, you didn’t. I said I was, this is the software I gave you to use for this product. And you just went and pretended to do some research.

Yeah. Mad qualifications. They were. And 

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Rachel: ECDL or don’t even go there. 

Alan: We have rambled. Well, I say we, Rachel and I spoke for 10 minutes and then I’ve been talking to deepfake Rachel for 50. Um, So that’s been brilliant. What does the future hold for? Teacher training. Is there some changes coming?

Are they rationalizing ITT and ECF or something? Did I read? 

Rachel: Yeah, there’s loads of changes coming. There’s a whole, there’s always change. When isn’t there change, Alan? It’s just the world that we live in. There’s something called the ITAP, which is coming into place. And we’re all preparing for that, which is about really high quality.

The initial stage of teacher training, so for us it’s our institute so how we can make sure that’s as robust in terms of pedagogy and classroom interactions as possible. But I’m really excited about what technology can bring to initial teacher training and, been doing some research and speaking to lots of different people about how we can use AI for initial teacher training.

And I’m a big fan of deliberate practice and, giving trainees as many opportunities as possible to practice their skills. Cause I think that’s the only real way to become an excellent teacher, but often for our trainees because they’re teaching in the school. That they’re employed at and they’re there permanently.

If you make a mistake with the class, as we all know, there’s not much going back. You can’t zap their memories and pretend that didn’t happen, or pause and say, can we go again? So I’d be really interested in simulated learning environments and how AI could behave like a classroom that I don’t know, I’m imagining kind of VR headsets and a simulated classroom environment so trainees can practice different scenarios before going into the real real world.

Real classroom setting because it shouldn’t be a practice run because it’s those kids education, so we need to make sure that it’s they’re in the best place possible to do that. I think there’s some exciting changes coming. And in terms of computing teacher training, like we’ve just been talking about, the digital qualifications, how we’d have to adapt subject knowledge and the subject knowledge parts of our program to be able to teach a different suite of qualifications if we’re There’s reform to the computing, GCSE.

So that will be, really fun when I’ve just finished writing my curriculum. 

Alan: Good. 

So, 

Rachel: yeah,

Alan: Yeah, so all you need to do is do what you did last time and just get ChatGPT to write your curriculum again, Rachel, you know. if I, 

Rachel: if ChatGPT could do, So if you could do that for me and that would be brilliant, but unfortunately, I think we’re a while off it being able to personalize it in the way that we want it to and it being reliable enough, but I don’t think we’re that far off it.

Alan: Now, um, just for the listeners benefit. Don’t actually believe that Rachel used AI to write the teach first curriculum, but just in case the lawyers are listening, the number of spelling 

Rachel: mistakes in my curriculum would say that I definitely wrote it. 

Alan: Oh no, you can say, ChatGPT, please write like a bad speller an initial teacher training computing curriculum.

You could say that and get lots of spelling mistakes in it and make, make it look like a human wrote it. 

Rachel: I am deepfake Rachel, so I wouldn’t want to Well, yeah, 

Alan: that’s right, yeah. Good, brilliant. I think I’m looking off to the side here because I’ve got loads of notes, like I plan these things are scripted, yes, Alan, they are scripted. Yeah, Yeah, 

Rachel: it’s scripted. The robot has completed her script for the day. 

Alan: Thank you. Right, um, that was brilliant. I have no idea how I’m going to edit that down to a reasonable length. 

Rachel: Good luck! But 

Alan: this is, This is what I do. I just get, Because I have such great guests on and we end up talking forever, we end up talking for over an hour and then I don’t know what to do and I end up leaving most of it in.

Rachel: It’s hard isn’t it, but you’ve got your great software so hopefully that will help. 

Alan: My great software, Descript, only 24 a month for the pro version and I just press a button and it gets rid of all the ums and ahs and stuff, although it’s, you’ve got to be careful because. When I interviewed Andy Colley, he has a phrase which is, you got to keep the main thing, the main thing, which is great, but it cuts out repetition of the main thing.

I spotted it before the podcast went out, so I was all right, but yeah. The AI looks for repeated phrases. And the AI looks for repeated phrases and takes them out. Will it take out 

Rachel: that repetition? We’ll see. 

Alan: It might do, and then this will make no sense to the listeners, this bit that we’re talking about afterwards.

It’s really, it’s a bit like Inception, this. None of it’s making sense. 

Rachel: Nothing’s real. What is real anymore? No. We’re all in the 

Alan: matrix, and maybe I’m a deepfake. Oh, well that would just be the 

Rachel: twist, wouldn’t it? To finish this episode. 

Alan: It’s just really happening. What’s this ready for? Right, um, On that note.

I think I’d probably better, what shall I say, terminate the program. This is where you go, no, I’ve got rights. 

Rachel: Yeah. Do I get shut down now? Is that what happens? 

Alan: Yeah. Sorry. Yeah. Cause you’re not real and you don’t have any rights. 

Rachel: Send me for some updates. Yeah. And 

Alan: when you’ve been glitching, you’ve been glitching a bit.

Rachel: After my maternity leave, I can return with a, you know, new, restored version. 

Alan: Yeah. Right on that note. I think it’s been brilliant. I hope that we met the brief, which I think was, how do I train to teach computing? Something like that. 

Rachel: Pick one of the training programs. But the main message is just do it please just train to become a 

Alan: computer student.

How hard can it be? 

Rachel: We can do it. 

Alan: We can do it and we’re not even real. So how hard can it be if you’re an actual human? No, it’s a 

Rachel: brilliant, joyful career and there’s lots of Lots and lots of opportunities that come from it, so would thoroughly recommend. So yeah, thanks for having me. It’s been a joy.

Alan: Yeah, no, it’s been great to talk to you and thanks for coming on. I will I haven’t heard anything, so I guess in the background. 

Rachel: Yeah, your little 

Alan: ones are still asleep. 

Rachel: Yeah, two out of two. 

Alan: Good, so you might even get an hour of telly. 

Rachel: Treat myself, there’s a, I’ve gone back to watching Grey’s Anatomy from the start, so 

Alan: that’s why.

From the start? 

Rachel: Yeah. 

Alan: Oh, good. Not actually done that one, but my wife’s, what’s, where is it that she’s watched, Friends about ten times, but have you seen that new girl with, Zoe Deschanel or something. Yeah, she’s watched that about three times. 

Rachel: Yeah, 

Alan: I don’t mind. That’s quite funny. 

Rachel: Yeah, so light hearted 

Alan: good so I will let you go and have some precious quiet time.

Rachel: Thank you, I don’t know the 

Alan: robots need quiet time. 

Rachel: We need to, refresh overnight and install updates and reboot and restart. 

Alan: All right, okay, lovely to talk to you, Rachel. 

Rachel: Thank you, thanks for having me. Take care, bye.

Alan: So that was a fun episode to make hope you enjoyed it. Let’s revisit our fertile question. How hard can it be? Have we answered it. Let me know in the comments or on the socials, this has been how to teach computer science, the podcast. I’m Alan Harrison, please do visit my website. I’m not being paid for this. 

So buy my books or buy me a coffee, please details at HTTCS.ONLINE. And subscribe now. So you don’t miss a thing. Have a great weekend and I’ll catch you next week.

If you are grateful for my blog, please buy my books here or buy me a coffee at ko-fi.com/mraharrisoncs, thanks!
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#LEARN computing general podcast programming teaching and learning

Podcast Episode 5: How Do We Teach Programming?

Welcome to another podcast episode! The podcast is here

Transcript…

 Hello, and welcome to how to teach computer science the podcast. This is episode five. How do we teach programming? I’ll be answering that question and many more with the help of today’s special guests. 

, I do think it is really important for children to learn to program. I know we’re talking about it can build up resilience and it can be really creative and it helps you think outside the box.

 ChatGPT and the other AI things, are all really great for writing bits of code, but I think, it’s a lot more valuable to be able to understand what the code’s doing, and then that way, if you have an error, then you’ll know why that is. 

If you are grateful for my blog, please buy my books here or buy me a coffee at ko-fi.com/mraharrisoncs, thanks!

And we’ll hear the full interview shortly. My name is Alan Harrison, and I wrote the books how to teach computer science and how to learn computer science available in online bookstores, more detail at the companion website. HTTCS dot online. That’s the initials of how to teach computer science HTTCS dot online. So last week’s episode with Andy Colley proved to be an epic. Even with drastic cuts, it was still 43 minutes and this week proves to be just as difficult to edit. So there will be no more wasting time with silly jokes. 

I’m just going to. 

What? 

oh, so it seems Alexa is listening and has a joke for me. Let’s see how this goes. 

Who’s there? 

A hardware interrupt. 

Oh, dear. 

 All right, let’s try something else. Alexa. Why was six afraid of seven. Because 7, 8, 9. ​

 If you like this content, please subscribe. Tell your friends, buy my books at HTTCS.Online. Leave a review on Amazon or at the very least buy me a coffee, details at HTTCS dot online on how you can do that. Every week, I’ll transcribe this recording and blog it at HTTCS dot online slash blog. 

So if you don’t like my voice. …

We’re talking about programming today and soon I’ll introduce my guests, but remember in the books HTTCS and HTLCS each chapter starts with a story from the hinterland of our thrilling subject. Today’s story takes place in Boston, Massachusetts. 

It’s April the 10th, 2019. Late afternoon. The final stage of the pipeline of algorithms is executing. Dr. Katie Bouman sits at her Mac. And watches open mouth as the picture starts to appear in the upper left window. She and a team of computer scientists, astrophysicists and electrical engineers have been working on this project for three years. Five petabytes of data on half a ton of hard drives from telescopes around the world, arrived here at MIT over a week ago, and the algorithms have been churning it ever since. 

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 The black hole, Doctor Bouman is analyzing, looks tiny from earth. About as big as an orange word on the surface of the moon. Refraction limits what we can see with our telescopes. So the very best image of the moon from earth consists of 13,000 pixels. But each pixel at that distance would then contain around 1.5 million oranges. To take an image of a black hole we would need an earth sized telescope. We can’t make one of those, but we can connect telescopes around the world, giving us lots of low resolution images from different angles which could be processed by computers into a single image. That’s what Dr. Bauman did creating an earth sized computational telescope called the event horizon telescope. Just like several different, low res images of the same face can be used to generate an accurate prediction of the real face. We can use these sparse noisy images and put them together to create a more detailed image. Doctor Bouman has spent the last three years building a computational pipeline to do just that with the images from the radio telescopes around the globe being fed into the algorithm, which eventually produces an image. The full story can be heard on Dr Bouman’s Ted talk, but what excites me is that the programming language chosen for all this computation was Python. 

So it was at around 6:45 PM. On April 10th, 2019. A researcher took a picture. Of Dr. Bouman at her computer in an image, you can see in my books and is reproduced on the cover. We can see a code window on the right of her screen, which looks like the matplotlib Python library. 

 We can see the now famous image of the M 87 black hole, but most importantly of all, we are privileged to witness the joy of discovery. 

 Dr. Bouman presses her hands to her mouth eyes wide open in wonder. An algorithm, her algorithm has unlocked one of the secrets of the universe.

 So you can buy. How to teach computer science or how to learn computer science, to read that story again, and many more. I did put lots of hinterland of our wonderful subject into the book. So that you can share it with your students or enjoy it just for itself. As for my story. Well, I learned to program in the eighties home, computer boom. My school was one of the first to get the BBC micro . On which Mr. Charnley taught us to program. And of course the first thing we did was write a program that went a bit like this:

10 PRINT. ‘Mr. Charnley is an idiot’
20 GOTO 10.
And then press run. 

Mr Charnley was not an idiot. he was a very good computing teacher I got an a in computer studies in 1984. And it’s all been downhill since then. 

 So that was my classroom experience. But today’s guests are going to tell me a little bit about theirs. 

It’s time to introduce my special guests on the podcast today and I’m delighted to have Harry and Anna Wake with me, who are the young creators of Mission Encodable. So please do tell us a little bit about yourself. Harry first, perhaps, and then Anna. Harry. 

 Yeah my name is Harry. Of Mission Encodable and I’m Anna’s cousin. I think a lot of our interests are quite similar, a lot of what I’ll say will also apply to Anna, but I’m studying maths, computer science, physics, and further maths at A level currently.

And about two years ago I made Mission Encodable with Anna, which is a website that teaches students to code in a fun and engaging way. 

Over to you, Anna. 

So yeah, as Harry said, we have very similar interests, but I am the other co founder of Mission Encodable, and I’m doing exactly the same A levels as Harry.

But it’s also fair to say that outside of doing computer science and programming, we also like climbing and swimming and running and all those activities, 

I think we do both like all of those, so it’s quite handy. Just means that whenever we have to write a bio out, it means that they both look almost identical, like they’ve been copied. It’s because we are just very similar people, I think. 

yeah. Thank you for the books, by the way, they are really nice.

Yeah, very nice. Nice little little book, yeah. So I wrote the first one, which is sat over here, for teachers. There you go. That one, the teacher one, but this is full of stuff that teachers need to know, and you don’t need to know, not unless you’re going to teach it, which is something you could do in the future.

You think, ever think about going into teaching? 

I have read quite a bit of pedagogy stuff recently, just because I find it interesting, and it is funny because the more you learn about it, the more you watch your teachers doing things. cold calling, found it. 

Yeah, I often think about that when, I make this podcast and there’s lots of other teaching podcasts and YouTube channels and stuff out there and just books generally, and I think, do the kids know what we’re doing?

Would the students, if they knew what we were doing, would they try and undermine the pedagogy techniques? That would be mad. So you don’t undermine cold calling, do you like keep sticking your hand up and annoying the teacher who’s trying to do cold calling? No, I mean I’ve 

never quite got to the extent of some pseudo reverse pedagogy, but yeah, it is really interesting and I’ve got teachers who do more of it than others do as well, it seems.

Yeah, that’ll be interesting, if I can talk to you sometime about, about the good teaching and the bad teaching that you’ve seen. in classroom, but we’re going to try and stick to computer science today.

So while we’re on the subject then so your experience of learning programming in school, I was, I must admit, I did my homework, I was watching that video you did with Craig and Dave from nearly two years ago now, I think, where you were introducing Mission Encodable, and you were saying that you were Coding for fun during lockdown.

Yeah, so during lockdown I think Harry and I, we started to have our Zoom meetings at the time. Yeah. We called them our executive meetings and we’d just make little projects. I think the first one we did was in Scratch. And very imaginatively, we called it Wake Mania. It had lots of games, all sorts. It was a bit like a board game and then you could play it with your family

so it was really nice. And then we made a website. And it had lots of puzzles and things like that. I had a Caesar cipher all kinds of, number pyramids, all that kind of thing. And that used just HTML, CSS, JavaScript.

But it was quite fun. And, we had a lot of fun designing it and making all the problems work. And then we entered that into the coolest project competition. And we did win, and we’re very pleased with ourselves. 

Brilliant. Brilliant. Coolest projects. That’s run by the Raspberry Pi Foundation, I think, isn’t it? Did you have to go to a prize winning for that? 

No, because it was in lockdown. 

Of course it was. Did you have a, did you have a Zoom prize giving ceremony? 

It was a YouTube prize giving, wasn’t it? Yeah. It was like a live stream and I think, we both watched at the same time waiting.

I’ve got kids roughly the same age as you. One who’s just gone off to university, and one who’s in year 11, and she went through secondary school when there were no trips anywhere.

So she didn’t do any school trips at all. From year seven to year 11, it’s pretty sad. So everything happened online. 

You’re that generation that loads of stuff just went online during a really important part of your life. How was that for you anyway, ? 

Yeah, it was strange, I think, but I think we also adapted to it rather well, or at least I seem to. There’s a lot of benefits that have come out of it. I don’t think Anna and I would be having these little meetings each week had lockdown not happened. There are positives that have come out. 

Like this, the way that we just jump on a Teams call and everyone just does that now, Teams, Zoom or Google Meet, whatever, so the world’s changed and one of the problems we’ve got as teachers. Is we can’t work at home a lot of teachers are leaving the profession because they’re seeing their other halves working at home and going, I want a bit of that.

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Yeah, quite, until all schools go online, that’s going to be a big problem. 

Yeah, there is discussion about that now, isn’t there, whether virtual remote teaching could be a thing and if everyone could just stay at home all the time and more people signing up to programs that do that.

I don’t like the sound of it very much, so I’m quite glad I mostly avoided it. But, 

yeah, do you know, I think there’s a place for that for certain students. There are a lot of students who, have trouble going to school for various reasons, disability and so on. And I think, so online schools really need to happen. But I don’t think it would be good for everybody. Not all students need to do that. 

No, I agree. I think there’s a nice social aspect of actually going into a school and seeing your friends and seeing your teachers and things.

And I don’t think you get that online, but then equally, there’s a persistent attendance issue at the moment. So for some people that find it difficult to come in for all those reasons, I can imagine it also has lots of positives. So yeah, it’s an interesting one. 

It is, yeah I read something recently come back to technology this is primary school children going to school and they’re unable to read a book. They’ve never seen books before and they swipe the cover of the books as if it’s an iPad or something. 

That’s quite scary, isn’t it? I’ve heard of people getting to secondary school in their computing lessons, having never used like a proper monitor and keyboard before, and they start swiping at the screens apparently, but I’ve never heard of it with books. 

Oh yeah so yeah kids unable to use a book when they start school is quite tragic. Okay, don’t get me wrong, I love my Kindle and that’s where I read everything, but that’s mostly because I’m 50 something now and my eyes have stopped working and so I can’t read the text on ordinary books these days. Kindles are great for that. 

 So I want to First of all, ask you about learning programming and what it was like for you learning programming in school. And before I go into that, I’ve just interviewed Andy Colley who’s on last week’s podcast by the time this comes out.

And he wrote the Python course for Repl. it. Yes, I know we all know about Repl. it and that’s a A big deal for you guys, I’ll talk about that in a minute, but so he knows a bit about teaching programming, Andy Colley, and he said 

If you are grateful for my blog, please buy my books here or buy me a coffee at ko-fi.com/mraharrisoncs, thanks!

I’ve seen so many programming courses that go variable assignment, input, output, and now recursion. Yeah, absolutely. And there’s this giant pit that you fall into. You’re on your back like a turtle and you can’t get out. And I see that look on the faces of students all the time

. Those are the words of Andy Colley. Have you experienced that in the classroom? Have you found yourself suddenly lost by where the programming teaching has gone? 

I think a lot of teachers. Yeah, teachers know not to do that, I think as a general rule. Not all, but the majority, I think, they’ve taught for long enough to know that, you do have to transfer your knowledge in a way that students can understand as well. But if that is happening, something’s going a bit wrong, I think. 

Yeah, so what I’m driving at is you probably had decent programming teachers

Anna, what was your experience like? 

It was all right. I think I was quite lucky because my dad is also quite into programming and he when I was, not super little, but probably. Year six or seven, we would make like Python games and all that kind of stuff. So he taught me a bit of Python before I got to school. I think for a lot of people it just becomes quite dull at school because the projects, they’re all very samey and they can get quite mathematical and that some students find that hard to relate to.

Yeah, I guess you guys are, like, not typical students, really, because you probably a bit like me, learned how to program before you went to school or before you went into secondary school, at least. And you said about mathematical problems and stuff, and I was watching that YouTube video you did with Craig and Dave nearly two years ago now and you were quite keen to put into your product mission encodable, which we will come to in a minute stuff that wasn’t mathematical. You did madlibs and a band name generator, I remember. Was it important for you to put in stuff like that rather than just oh, this is the volume of a cuboid 

yeah, absolutely. I was going to say earlier, if you can create games and. actual projects with your programming, like right from the beginning, like with my dad, we did connect four and tic tac toe and that kind of thing. And it just, it shows you what you can do with the programming that you learn 

and I feel like occasionally that’s missing from the projects that you do, like finding out the volume of a cube is all very well, but it’s not really showing you how important it is and all of this so yeah Harry, do you want to talk about mission encodable yeah, not being mathematical.

Yeah, let’s hear- harry, what’s Mission Encodable? 

Oh I’m very happy to give you the elevator pitch. Thank you. So Mission Encodable is a website that Anna and I made about two or three years ago now, and that we are always working on it and we designed it because we wanted to make learning to code more interesting.

So I think, as Anna’s just touched upon, a lot of tutorials are just. Quite dull to be frank, like they will talk a lot about mathematics or other things which aren’t very relevant to students lives, and we were seeing a lot of our peers get quite switched off by that, I think, and we really liked coding, so we didn’t want to just watch that, so Mission Encodeable was what we made to try and inspire people a bit more and to find, the more enjoyable aspects of programming, because it is really creative.

So it’s a free course and it teaches Python. All the way up from students not knowing anything about coding, having never written any code, or knowing what an IDE is, or even what Python is, all the way to being able to answer some of the very top tier questions in their GCSE computer science exams. So it’s split up into several different levels.

I think we’ve got nine at the moment, although by the time this comes out, hopefully that will be incorrect, we’ll actually have 10. So there’s lots more to come. But the principle of it is that we want to make learning to code really fun and enjoyable for everybody. So there are lots of projects in there.

There’s step by step walkthrough explanations, so teachers, students, everything they need to know, and they get to see it applied in practice in a really fun and engaging way. 

Yeah. That’s brilliant. I’ve had a play with it and yeah, I can see what you mean. You build up the skills and then there’s a project and it’s something interesting.

Like you say I mentioned the band name generator earlier and the Madlib it’s quite a good incentive to, to get all those skills because you can make something that’s fun. 

Yeah, good. And like I say, I watched you talk about it on your YouTube video it must seem like ages ago now, with Craig and Dave and just as an aside, I know Craig and Dave very well and we’re fans of each other’s work, I think. So the book that I’ve just sent you a copy of how to learn computer science, haven’t I?

And if you turn to the foreword, you will see a foreword by Craig and Dave, because they were very supportive of my book projects and and Dave actually proofread the whole thing and gave me lots of pointers. 

When I was working on the book, I had this brilliant class, which I pretty much took through computing from year seven to year 11.

And they did brilliantly in summer 22, and but they asked me about Craig and Dave. Oh, you, do you know Craig and Dave? And I became a minor celebrity when I went on Craig and Dave’s youTube channel and that like they made me keep putting it back on. Oh, Sir show us when you did that collab with Craig and Dave. And I went, what’s a collab? 

And but they started asking me questions and this thing happened and Craig and Dave, neither of them know this and they’re going to listen to this podcast and they go, oh my goodness. But I got asked a question. And a perfectly innocent question, so I thought, and the class asked me Sir, are Craig and Dave married?

And, I know you’re ahead of me here, because I know you’re teenagers and you know what that question means. It’s not what I thought it was, and so I said yeah, I believe they are. And there was suddenly a whole load of whispering like, I told you, I told you! And I went Told you what, we knew they were married, like whoa guys, they’re married to separate people. And so it took a little while to sort that one out. 

 Oh, that noise means it special offer time. My wonderful publishers. John Catt bookshop.com have kindly given all my podcast listeners that’s you guys 20% off, not just my book, but the entire store. Head to John Catt bookshop.com. That’s J O H N C a T T. bookshop.com and enter the code. HTTCSPOD that’s HTTCS P O D for 20% off everything including books by me. And by Adam Boxer, Geoff Barton, Mary Myatt, Zoe Enser and Dylan William, and many more. That’s the code HTTCSPOD for 20% of everything. At JohnCattBookshop.com now. Back to the interview.

about Craig and Dave Yeah

it was a few years ago and that was more or less at the very start of Mission Encodable for us, so that was really generous of them, I think, because, we were very small at that point, still are quite small, but, at that point, we had very few people on our website, so it was really generous, I think, of them to give us that platform initially, when no one had really put any trust in us at that point, that was great and we’ve done a lot more work with them over the last few years as well actually, haven’t we? So it’s not just been that one thing, there’s a lot more that’s gone on. Perhaps Anna could talk a bit about that. 

Yeah, so you might have seen on our website that we have lots of, mission encodable in partnership with Craig and Dave, and that’s because we’ve done a lot of work with Craig and Dave they have their programming site, Time2Code, and we have Mission Encodable.

And we’ve worked really hard together to make sure that our levels perfectly align. And they cover all of the same concepts in each level. And Time2Code will cover it in perhaps a more pedagogical way. It uses the TIME framework, which is a bit like a version of PRIMM throughout. And the programs are a bit more serious, and Perhaps a bit more mathematical throughout, and then on mission encodable, you have the more kind of fun and guided projects that hopefully are more relevant to, or relatable to students like Mad Libs that you mentioned.

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So I think it’s really great because you can use both to make your. Learning to programming experience really well rounded because you can have the kind of set like guidelines of time and then you can go and maybe make some more fun projects to test your skills or you can go through our projects and our steps and then go and look at time to codes projects just to test everything.

So it’s been really good and I think yeah, very generous of them again to reach out to us to do that. 

Yeah, good guys. Yeah, absolutely. No it’s great. So how does a teacher get onto Mission Encodable and start using it in their Classroom. 

It’s very easy to get started with, so probably the best thing to do, honestly, is just have a look at our website. So it’s missionencodable. com and you can look at our tutorials really easily. You just have to click the big orange get started button and you’ll see everything you need to, so you can see our whole course.

You can see it all mapped out in front of you, so you can use that to figure out roughly where your students are at and what you’ll find in there are different tutorials. Separated into levels, so you might have level one, which is the introduction to print statements and inputs. So if your students have never coded before, that would be a great place to start, but we do also have lots of other levels, the more advanced coders.

What teachers might do if they maybe don’t feel as confident teaching the programming themselves or, they want to set it as homework, for example, you could give your students a link to a level of mission in and have them do that. Or alternatively, you could teach them. Bits and pieces from the front end of the class, and then you could show the mission encodable, as a revision resource or as some projects to do.

So there are lots of different ways to use it. The other thing that I would say is that we do have a teacher’s page with lots of resources on it. So if you want, perhaps a sheet and a spreadsheet to track what your students are up to in our course, you can download that from our teacher’s page. We’ve got a launch presentation, so that will introduce students to Mission Encodable in their very first lesson.

We’ve got posters, we’ve got notebook sheets, all sorts of other useful resources, and they’re all free to download. Everything is free, Mission Encodable, just in case people didn’t know. So yeah, best way to start is have a look at our website, explore it. And and if anyone does have any questions who’s listening to this about Mission Encodable, they’re thinking, would it be right for their students?

They’re very welcome to get in touch with us just send us an email or fill out the contact form and then we’ll gladly meet with them and discuss in more depth how it can help them. 

Absolutely. So you said there that it’s free. Are we talking about free levels and premium levels or is the whole thing free?

No, it’s all free. Every bit of it is free. People do like to ask so we don’t make any money out of it at all, but it’s all free to access. There’s no accounts required either, so there’s no friction. You don’t have to give us an email address, just go on there, use it as you please. We wanted to do that, I think, just because lot of things are paid, but people can’t always afford them. And initially like we thought if people want to use it, they don’t want to stop them by getting in their way of the paywall. Often schools don’t have very much money, particularly at the moment. So we’re really happy to provide it for free.

If you are grateful for my blog, please buy my books here or buy me a coffee at ko-fi.com/mraharrisoncs, thanks!

I have, I’ve been head of department. And for five years. And I remember looking for resources for teaching programming and being quoted, thousands of pounds. And I remember having this conversation with one vendor who said, and we can do the whole thing for you for 7000 pounds. And I said, you don’t know anything about school budgets, do you? No, no computing teacher listening to this has got anywhere near that kind of money, so it’s great to know that you’ve made all of this available for free. That’s brilliant. I also heard you tell Craig and Dave that you coded the whole thing yourself I would have, like Dave, put money on WordPress, but no, no, you taught yourself web design and the React framework and away you went. So that’s pretty, pretty amazing that you’ve got that under your belt now at this stage of your lives. So are you hoping that, to take that to some employer and go this is what I made when I was 15, is that your plan for the future?

I think it is a really good project to have. It, it was, it’s an amazing, I think it’s a really good thing to build and to put your skills to the test as it were. And show what you can do. It’s also got a database and it’s all set up. We did have quite a bit of help from my dad, who we now call technical support, but , most of the the HTML, the React we’ve all written we were also really lucky. The design that lots of people say, Oh, that must be WordPress. But we had some help from my mum and all that, those people to make it look the way it does. Harry did an excellent job of designing it. So yeah, it’s a really good project.

Proper, proper family business. This isn’t it. Oh, good stuff. Yeah, so it must have took you, a lot of resilience to get that coded. I think it’s important when you’re learning to program to have that resilience and just keep plugging away. Do you think that’s important? 

I definitely think so. When we started making it, probably Mission Encodable was slightly above our skill level, so we had to teach ourself a lot, but in a way like that’s good because it helps you learn stuff. So I definitely recommend that to any students who are listening, perhaps, or teachers with students.

Yeah, you just dive in and start saying. If you just learn what you need to learn, it’s a really good way of learning, just experimenting with different things, and you will hit roadblocks along the way, which are quite frustrating sometimes when you get stuck for ages, as long as you’ve got someone you can ask for help, or nowadays you can ask ChatGPT if you want to.

You can, and I’ll tell you a better chatbot to use, and that is the new one from Harvard’s computing department that’s called cs50. ai. So cs50 is Harvard’s famous entry level computer science course which they make available for free online. There’s hours and hours of lectures and problems to solve, and to go alongside it they Looked into, you’ve probably heard of rubber duck debugging.
Have any of your teachers given you rubber ducks to talk to? 

I’ve never had that, but in my current computer science class, we have a lot of ducks that have been stuck on the walls. I think possibly the previous upper sixth left them as a bit of a prank. So just in random places, you’ll find them dotted around. 

They probably had a teacher that tried it and said, look, if you’ve got a coding problem, you talk it out to a rubber duck. You just go it should be doing this. It’s only doing that. It’s not doing that. This line has given me an error. What do you think? And the principle of rubber ducking is just the fact that you verbalize the problem you’re trying to solve actually sometimes helps you solve it. You suddenly realize where the error is because you’re talking it out with a rubber duck.

So you just go cs50. ai, it’s free, you need to sign in with a free GitHub account, annoyingly, but they’re free, and then you just ask it questions, and you can say, oh, I’ve written some code, I’m trying to do this, I’m trying to output all the rows in my table, but it’s only doing the first 10, not 11, and it will go, Oh, have you got the range function correct in your Python?

And it will not give you the answer, but tell you where to look. So it’s got a picture of a rubber duck on the website because it is supposed to be AI rubber ducking. So that’s something to try if you get stuck.

So what you said, Harry if you’ve got a project in mind, if you’ve got, a goal to reach and it’s currently beyond what you’re able to do, Then that’s a brilliant motivator for finding out the bits that you’re stuck on. There’s nothing better than having that motivating project, which is brings me back to mission encodable. You’ve got that project at the end of every level, haven’t you? Whether it’s a Madlib or a band name generator. 

Yeah, we have, we call them capstone projects capping a level off and they are independently completed by the learner doing the level, and it should put all of the skills that have been learned in that level to the test, and I think it can be great.

It’s really easy to say, Oh, it shows you what you need to work on. It does, and it shows you if you need to go back and go over something and try doing it with more examples and that kind of thing. But also I think it’s nice. It shows you your strengths and it gives you maybe a confidence boost.

If you feel like, yes, I can do this. I am. Feeling quite skilled, actually, with my new Python knowledge. So I think it is a very nice thing to have at the end of a level. And also, we’ve tried to make them quite nice projects. As you were saying, you can show your friends and you can play a game. I made a our new level which Harry mentioned will be in Turtle and I was making a Turtle racing game during my free period and my friends got very into it.

They were like, oh yeah, pink, go pink, go yellow. 

I love that. Turtle’s very motivating actually. Turtle graphics in Python and trying to do things like, I like doing fractal flower patterns and things like that. And I often do Turtle graphics, Christmas cards. With year seven or 
eight.

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I know it’s a nice little, yeah, I know. I like it. Always does encourage a bit of silliness, I think.

Yeah, yeah, nice. So why do children need to learn to program? You can go, ChatGPT, write me a program to do this and it will do it. What do you think?

I think, I do think it is really important for children to learn to program. I know we’re talking about it can build up resilience and it can be really creative and it helps you think outside the box. I think it’s a very good skill for that. And I think that if you if you don’t know what you’re doing and you just say, Oh, write me a program that does this and writes your program, but it doesn’t work, or, it does something unexpected and then you don’t know why. And I think it is. I think it is good to understand why something works the way it works or to be able to fix any problems yourself.

And also all of the, skills, like being creative and thinking about it logically and building up that resilience and confidence that can come with learning to program is really important. And you won’t get that from just 

I think as teachers we call that computational thinking usually, and it’s it’s the hard bit. Really, it’s the solving the problem and you know churning it out in Python and getting the syntax right isn’t really the hard bit. And so you know, having the idea and fleshing it out, maybe drawing flowcharts or diagrams to To get your ideas out there that’s the hard bit and that still needs a bit of creativity that I don’t think AI is quite there with yet.

You might as well have just written it sometimes, or search stack overflow for the code, annoyingly, Stack Overflow has now got AI answers, so you know, in a few years it’ll just be AI talking to itself on that website, so that’ll be interesting to watch. 

I didn’t know it had that, but that’s quite annoying, because Stack Overflow is great, but always use it. Yeah, don’t we all? ChatGPT and the other AI things, like the Harvard one you just mentioned, are all really great for writing bits of code, but I think, it’s a lot more valuable to be able to understand what the code’s doing, and then that way, if you have an error, then you’ll know why that is.

You can look at it yourself, because if you aren’t able to do that, You don’t have any more skills than anyone does, 

really. No, I think it’s really, that’s a really important point. And one of the big problems with AI, and if you watch a film called Coded Bias you’ll hear about this.

It’s a great film about the the pitfalls of AI and how it can entrench the biases that already exist in our society. And one of the problems with AI is that. If you use a machine learning model to make decisions for you, it can’t tell you why it made that decision and. There’s no real legislation around this at the moment.

For example, women will be denied credit cards that men in exactly the same financial position will be given, and the AI can’t tell you why it’s denied that woman that credit card, because it doesn’t know why it made that decision. 

Yeah, definitely. I’m doing an EPQ at the moment, which is an extended project qualification. So you write, I think it’s a 5, 000 word report, and I’m doing mine around bias in AI, which is basically what you just said. And a lot of the time, the issue that people face with it is that you don’t know how a decision has been reached.

And there’s not really any hard way that you can prove that an AI model is going against the Equality Act, but it probably is. And, there are scary cases of women being denied credit, for example, where it hasn’t even been told that they are a woman, but it’s like it’s picked up other bits of information.

Yeah, and it’s figured that out itself. You definitely need people to work on that who understand the ethical implications, I think. And that is what a good computer scientist can do. 

Yeah, absolutely. Oh that’s fascinating that you’re doing that EPQ. I’d love to read that when you’ve written it. I love all this. I’m really into learning about AI at the minute. So talking of bias against women, sorry Anna, but that’s the world at the moment is it’s slightly problematic, shall we say. Okay, so what we really need. What we really need to solve that is more women in technology so how do we get more girls to learn to program or for girls to take computer science GCSE in England.

I think part of it lies in making it more interesting and more relatable. Because I think a lot of people don’t do computer science because they find it boring and Some of those people will be girls, so if we can make the projects more interesting, then more people will want to do it. The content that’s covered more interesting, more people will want to do it.

Also, I think that making the programs, I’m talking about programming here, because that’s what Harry and I do. 

Yeah, absolutely. 

Make the projects I think my dad has been doing some research into this and he’s talking about making it apply to the wider world, so things about how does computer science integrate with medicine or geography, like lots of different fields.

And I think he was saying that girls can find that more interesting and more relatable. But I will just say that one of the things that I personally find really irritating is when People think, oh, how can we get more girls into computer science? Let’s make the projects more girly. And then they have perfume or nail polish or pink or something. In fact, actually, as you were talking about, if you ask ChatGPT about projects that might interest girls, it comes up with stuff about nail polish and perfume and all of that. And as someone who’s not interested in that, and I think many girls will spot that immediately, and they’ll be like, oh, honestly, this is really annoying.

Stereotypical. It goes back. So what you’re saying happened in 2015. IBM, that global technology giant with hundreds of thousands of IT professionals around the world. They wanted to encourage more women into IT and they launched something that became infamous in 2015.

It was called the hack a hairdryer campaign. Hack a hairdryer and calling all women in tech join the hack a hairdryer experiment to re engineer what matters in science. And there you go. And it was on Twitter and you can see the Twitter replies and somebody says, that’s okay IBM, I’d rather build satellites instead, but good luck with that whole hack a hairdryer thing.

Yeah, exactly. Yeah, it’s a difficult one, isn’t it? Because, we do need more women in tech desperately working on AI, for example, because that is one of the ways that they can spot biases that are appearing and, prevent them from Being extrapolated, but equally it’s really odd because a lot of girls just don’t seem to have an interest in it and somehow we failed to capture that, I can’t see how that will be a biological thing, but, all the research that I’ve read about it, I’ve never, no one’s given me a solid sort of reasoning as to why less girls are doing it because it is an issue and a lot of the stuff people will say just sounds relatively sexist.

Like it will be something like, Oh yeah girls like to see, you know, things that are more humanities just because they don’t like hard maths and you think that can’t be right. Yeah. Yeah. So where it comes from, I don’t know, but I’m very interested to know if anyone has any research they’d like to share.

Yeah. So one of my other jobs is I work as a professional development lead for the NCCE, the National Centre for Computing Education, and they’re running a big program called I Belong to try to get more girls to take the subject. And yeah, I think it is true according to the research, that relevance really helps getting girls in, because I think generally speaking, boys are happy to mess about with technology for its own sake, and girls, this is generalizing greatly, girls would like to see, something important happen at the end of it, so that’s why I always, when I’m In the classroom, I’m talking about careers.

I always talk about, like you say, medical technology, bioinformatics, and so on. One of the things that fascinates me is things like VR being used for therapy, for like trauma patients, and so on.

And so I read something that, a load of boys were asked, what would you do with a VR headset? And it was like. Every single one of them said I’d write games and then girls said oh I’d make a therapy environment to help people who’ve been traumatized in war 

I think it’s really important to show the relevance of technology, but I think, it will inspire more girls into it, which is great, but also it will inspire everyone into it, because if you show how it’s relevant, I think no one’s going to be opposed to that.

You might as well do that and show people, no matter what you’re interested in, if it’s climate change, if it’s space exploration, if it’s nail polish, which it might be for some girls, but probably not for all of them. Or hack a hairdryer? Yeah. I think that’s really important that we show people how computer science can be applied in all sorts of different fields and how it can help lots of different types of people.

Absolutely, I think there’s quite a lot of stuff about role models like with the I belong program. We have some of the posters up in our CS classroom, but I think That is a good idea too, and it shows you also what you could do with computer science if you do it.

Also, just, I hadn’t really thought of this before I started talking, but Harry and I have got a Computing Legends campaign going on at the moment. Every month we have a pioneering computer scientists just trying to highlight the importance of computer science and show people that it is not all I don’t know, there is lots of things you can do with it outside that field of just, engineering a CPU or that kind of thing.

Yeah but a really good, really fast CPU could solve climate change, or lots of them put together. So yeah let’s talk about what will become possible. One of the things I say to my students when I’m trying to encourage them to take GCSE computer science, and they say why should I take it? And I go because, come the robot apocalypse, we want more human soldiers on the human side. And so all my students, you know, okay. And then I occasionally have one student says, no, I’m on the side of the robots. 

It’s a good argument that, if that’s not going to convince you, I don’t know what is. 

It’s coming. The robot apocalypse is coming. We need soldiers. We need people who know technology. I’ve seen Terminator. I know what happens. 

 It’s been great to talk to you. 

 I think, I think we covered everything I wanted to cover. That was brilliant. I think that went well. 
Just about. So thank you so much for being on,
. Well, thank you for having us. Brilliant to talk to you, thank you so much for your time, Anna.

Thank you very much. Thank you so much, that was brilliant. 
Thank you to you as well.
All right. Right. Thanks, guys. Lovely to talk to you. 
Thanks, Alan. Have a good evening. Bye. You too. 

This has been how to teach computer science, the podcast I’m Alan Harrison. If you want to give me feedback or get involved, just go to HTTCS dot online or check the show notes. Remember. If you liked this content, please subscribe to the podcast. 

Tell your friends, buy my books, leave a review of my books on Amazon, or at the very least buy me a coffee details at HTTCS dot online. I’m also available for staff training, inset days and student master classes. See the website for details. 

 Next week’s guest is the amazing Adrienne tough or miss tough on Twitter to you. And that is an unmissable interview. Because it’s got more jokes in it. I’ll leave you with one of the jokes from next week. Why was the computer scientist late for work? Find out next week on how to teach computer science, the podcast. It’s been great to talk to you. See you then.

If you are grateful for my blog, please buy my books here or buy me a coffee at ko-fi.com/mraharrisoncs, thanks!
Categories
pedagogy podcast teaching and learning

Podcast Episode 4: How DO we teach Computer Science?

Episode 4 is here!

Transcript

 Hello. Welcome to how to teach computer science, the podcast. This is episode four. How do we really teach computer science? I’ll be answering that question and many more with the help of today’s special guest. 
every time I make a joke in class, I say to the kids, I say, there aren’t many computing jokes and the ones there are aren’t very good. 
No, that is true. So I’m trying to buck that trend. I’m trying to bring in some new humor to the subject. I think it’s necessary. I think that might be a bigger task than sorting out the pedagogy but. Yeah, it could well be. Yeah 

If you are grateful for my blog, please buy my books here or buy me a coffee at ko-fi.com/mraharrisoncs, thanks!

More on that in a moment. My name’s Alan Harrison, and I wrote the books how to teach computer science on how to learn computer science available in online bookstores, more details at the companion website HTTCS dot online. That’s the initials of. How to teach computer science. HTTCS doc online. You know, it’s been quite a week. 

I’ve had a lot of feedback on the podcast. Most of it positive. Thank you so much. And I was in a teams meeting with other teachers of GCSE and A-level computer science this week. Run by AQA. Thank you, Steve Kenny for inviting me. And there was a lot of love for the podcast and it seems you appreciate my humor, which is nice. 

But I did say there are a load of cheesy computing jokes, which are not going to make it into the parts such as why do computer scientists confuse Halloween and Christmas? Because OCT 31 equals DEC 25. 

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 Like I say, I won’t be doing cheesy jokes like that. But just for Ian Bissix in the AQA meeting, this is for you Ian what sits on your shoulder, shouting pieces of seven pieces of seven. A parroty error. 
 Which reminds me, what’s a Pirate’s favorite programming language. Ye might think it’d be R but his first love be the C. If you like this content, please subscribe. Tell your friends, buy my books at HTTCS dot online. Leave a review on Amazon, or at the very least buy me a coffee details on the website. Every week, I will transcribe this recording and blog it at HTTCS dot online slash blog. 

If you prefer reading, you can always print my blog and read it on the train like it’s the 1990s again. Talking of printing. I was going to put this story in the book, but I’m not sure of its veracity. a listen and tell me what you think. We have to go over to Germany in the 15th century for this story. 

1440. Johannes Gutenberg has just invented the printing press. And just five minutes later at 1445, the printing press has invented the first paper jam. And at 1530, despite printing only in black and white. Johannes printing press has demanded a magenta ink refill. Gutenberg’s invention heralded what historians call the printing revolution. Although teachers are waiting for the second printing revolution where they all just work. 

 swear the teacher workload crisis is caused by 15 hours a week of marking and 20 hours clearing other people’s paper, jams and screaming. Jean! Where the hell is the duplexing unit cover? My advice. Stop printing anything at all. Use OneNote as their digital exercise books. And when mocks come around, use your school’s printing service, often described in that unique way schools have of clinging onto nostalgic terms from a bygone age as the reprographics service. Make sure you greet Mina in reprographics every morning, and don’t forget her at Christmas and she’ll print your stuff first.

 This week on the podcast, I have a special guest he’s been a CAS Master teacher for many years. He wrote the excellent Python course for REPLIT. And is very active on X, formerly Twitter when CAS chat comes around every Tuesday. 

I’m delighted to welcome a fellow computer science teacher, Andy Colley. How are you, Andy? 

I’m very well, thank you. Thanks for having me on. It’s slightly unusual this because I’m pretty much sat up in my spare room and I reckon if I look out of the window on my left, I could probably wave to you because you’re about two streets away from me.

And yet we’re using the magic of the Internet to record this. Maybe next time we’ll get in the same place. So the how the tables have turned because I was on your podcast probably a couple of years ago now. So just Fill us in. What’s your podcast about Andy? 

I mean I’ve never been one to be backward about coming forward, but for those of you who don’t know me, my name is Andy Colley. I am a rather fancily titled Director of Computing, which is a posh title for Head of Subject at a school called Laurus Cheadle Hulme in Cheadle Hulme, South Manchester.

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And in my spare time when I’m not teaching people, I like to talk about teaching people. And one of the ways I do that is through a podcast called Learning Dust with an unbelievably good better half, podcast wife on there called Dave Leonard, who is a network manager a MAT network lead, IT director and so on.

And he’s fabulous. He was one of the first people to steer my career down the way of using technology. Pedagogy first technology, if you will. Not just using it because it’s a shiny box, but using it because It helps learners improve the way they learn and remember more and be able to do more.

Yeah, he’s an all round good egg, Dave, isn’t he? I keep bumping into him as well at conferences. 
I know he’s annoyingly popular, isn’t he? Yeah. But you called that podcast Learning Dust. Just remind me where that phrase came from. 

I think the first time I heard it was back at a conference called Rethinking ICT. In about 2010, I want to say, and it was Professor Tom Crick who used the phrase, he said, magic learning dust does not fall out of the bottom of an iPad, just because they’re using technology doesn’t mean that automatically the learning is going to happen. And I’ve remembered it for years and years because the way I’ve taught and developed my career over the last 20 years in education is I was an advanced skills teacher, I was a lead practitioner for teaching and learning, I’m now running a subject.

Throughout all of that it’s about how do you do what you do in the classroom to the best effect so that your kids. Learn as much as possible for that limited amount of time they are with you and then can remember it for the next time you see them. 

Absolutely and hence our shared belief in the need to plan really effective lessons, not see if we can use this new shiny thing that’s come out and and is going to, oh, the latest thing that’s going to revolutionize education, let’s throw that into the classroom and see if it does.

You’re dead right and what we were saying just before we started recording was that I think we’re in such a much better place now both as the teaching profession and. Also as computer science teachers in particular about information about pedagogy that works, best practice pedagogy.

Dylan Wiliam speaks a lot of sense. He says, everything works somewhere. But what we do have now is a set Of best bets, if you will. Of things that have been shown to work in a majority of situations that we can default to. I like to call it minimum best practice. So there are certain techniques that you use with questioning, that you use with explanation, that you use with modelling, that are my default techniques.

If you are grateful for my blog, please buy my books here or buy me a coffee at ko-fi.com/mraharrisoncs, thanks!

And from there, I’ve raised the floor. Yeah, if my department are using cold calling and think pair share as their default questioning techniques, if we’re using mini whiteboards as our default check for understanding, if we’re using dual coding and live modeling as our default method of explanation, then that floor standard is a much higher, and there’s much more consistency in terms of It sounds flippant, but the worst it can possibly be, and then, what I say to my department is okay, that’s our minimum. If you’re going to do something different, let’s make it better than what we’ve already got. And we can use that as our benchmark. And like I say, we’ve got so much more information now, I’m looking at the Teach Computing, Big Book of Pedagogy here. And there’s what, a dozen things in there, a dozen concepts. Alan’s reaching for his as we speak. This is live podcast. Yep, here we go. Ta da! There’s page five. There’s a dozen things there. 

Yeah absolutely. This is I was going to talk about this. I’m flicking it in front of the microphone. Like that’s helpful when we’re on a podcast, but yeah, it’s I like what you say about a sort of a floor level of performance and then you can build on that.

So I do recommend everyone reads something like the Big Book of Pedagogy. There’s other stuff out there now, like you say, loads of it that we have access to now in the last 10 years, like Sue Sentance’s, computer science, education book. And I wrote a book by the way, I don’t know if you heard about that.

And I do mention it occasionally. Yeah. And William Lau’s and many others. What I tried to gather was some of the best bits of , it’s a bit of a magpie book. Really, I magpied all the best bits of pedagogy from other people’s research, but I did credit everybody.

 So yeah, I like what you’re saying about, questioning and whiteboards and there’s sometimes I come across people who say oh we’re in a computing room we’ve got to use the computers all the time and I think good teaching is good teaching you don’t have to be on the computers all the time.

Magic learning dust does not fall out of the bottom of an iPad. 

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Exactly you know if it’s the best tool for either explaining something to them or checking that they’ve learned what you’ve taught them. Or getting them to practice individually, what you’ve learned, what you’ve taught them, then if the best tool for that is a pencil and paper, then use a damn pencil and paper.

Mini whiteboards are brilliant. I’ve used them for years. And, And, you can ask a question and bear in mind there is what people call a lot of theory to our subject. There’s a lot to know. There’s a lot of declarative knowledge as well as procedural knowledge, if we’re using those terms in the Ofsted Research Review.

You’ve got to check for understanding and that’s a skill that we can use in any classroom with mini whiteboards. One thing I would say is I did start to, I did use occasionally something called Socrative and of course the poll option and just asking questions in Teams if you’re on Teams.

So you can use technology to imitate mini whiteboards. And I like the, this Socrative. com would allow you to ask a question, they would put their answers in, and then you could choose two or three to push back to the students in a poll of best answers. And so you can tweak. The check for understanding with a mini whiteboard with technology in some ways, but it’s still a check for understanding.

Yeah, once I’ve got the mini whiteboards up, I will get some off the students, particularly if we’re learning how to write code fragments and I will put them under the visualizer. And then we’ll debug them together or they will discuss what I like about this particular example or where they’ve used, let’s say, variable assignment in here and so on.

But I’m I’m zooming we’re zooming right in at the moment. If I back off a minute and look at big principles in terms of information about teaching in general, Daniel Willingham said memory is the residue of thought. For me, that’s my Occam’s razor. That is, is. Everything I’m doing in the classroom, getting the kids thinking hard about what I want them to think about.

sometimes that can mean that I have to stop doing something really good to make sure that we’re doing something better. A great headteacher once said to me, if they’re learning, get the hell out of the way. I like it. And I have been as guilty as anyone of having a lovely computing adjacent discussion and if I’ve got a class that’s interested and engaged, I will swerve off what I want them to learn in the lesson and I’ll stay off that for too long.

Oh yeah, my kids knew how to get me off on tangents but yeah.

 Yeah talking of tangents. We’re just going to pause the interview with Andy Colley there and have a quick look at next week’s podcast.

 But I will just say that one of the things that I personally find really irritating is when People think, oh, how can we get more girls into computer science? Let’s make the projects more girly. And then they have like, , perfume or nail polish or pink or something. And as someone who’s not interested in that, I think many girls will spot that immediately, and they’ll be like, oh, honestly, this is really annoying.

 That was a sneak preview of next week’s podcast. You’re not going to want to miss it. That was Anna Wake who with her cousin, Harry. Was talking about. Getting girls into computing and their website mission. encodable, it’s a fab podcast next week. Subscribe now, but first back to Andy Colley. 

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if I’ve got a class that’s interested and engaged, I will swerve off what I want them to learn in the lesson and I’ll stay off that for too long. 

I’m all over that. The Willingham quote. I use that a lot. And it leads onto the ratio blogs from Adam Boxer. Yeah. And Ben Newmark’s Golden Silence. Um, Yes. So it’s, frightening sometimes when, kids are silently working, you think, oh God, I should say something, but the pressure to fill the void, yep. Like I say, I like that quote, get out of the way if they’re learning, and the ratio thing, in case listeners haven’t heard about it, is, what percentage of my pupils are thinking hard about the stuff they should be thinking hard about 

 We were talking about that semantic waves idea there we’ve introduced the abstract idea of ratio. Let’s zoom into an example now. For example questioning in the classroom. If I say to you, Alan, what is this? The moment I say Alan, everyone else in that classroom stops thinking.

Yes. Yeah, or if I go for hands up, then there are some kids who can quite happily sit there and never put a hand up and never have to think. Whereas if I say, I’m going to ask a question, I want everybody to think about their answer, and I’m going to take several responses. Yeah. Ask the question, pause, then Alan. Now, the number of students that are thinking up to the time I say the name is hopefully everyone.

And then, because I’ve said I’m going to take several responses, I can move it around. And that’s, that’s the sort of The nutshell of cold calling, isn’t it? Yeah, it is. And I was talking about this. I was delivering a course at the STEM Centre in York a few weeks ago and we were talking about questioning.

And I brought up the fact that novice teachers often don’t. really understand the purpose of questioning and they remember their school days of teacher asking a question and kids put the hand up, teacher asked the child who put the hand up and everyone moved on

we have to make explicit for novice teachers what questioning is about and it’s a pedagogical technique that ensures that the students are all thinking about what you want them to think about. In a sense, getting the right answer is really not important. The thinking is what’s important. And you mentioned cold call, which is what it’s called in Teach Like a Champion, of course.

And you also mentioned something that Doug Lemov, Teach Like a Champion bloke, calls wait time as well, which is asking a question and waiting. 

 All these things are little habits because it’s possible to do all of this stuff really badly and I say that from a position of having done all this stuff really badly. Yeah. Early in my career, I started behind the eight ball because I started in the era of engagement, the era of how many different tasks can you have going on in a classroom? As long as people look busy, that’s fine. Yeah. And from that, I’ve moved to be If I want them to learn something, I’ve got to explicitly teach it to them, and then check effectively have they learned what I’m teaching.

So from the engagement era, then you go through the right it’s the slide design as lesson planning. And you end up, especially working with non specialists, or you’re trying to produce a curriculum that can be picked up and run by other people, temptation is you just put everything you’re going to say on the slide. Absolutely. Which is, yeah, we’ve all sat in those insets, haven’t we? Read out of a PowerPoint, and yeah, look at what some of us do to kids. 

It’s funny, some of the teachers CPD historically has been some of the worst teaching that any of us have had. But yeah, . We’re the toughest crowd out there.

Yeah, we’re, yeah, we’re sat there going, my brain’s overloaded, why am I suffering cognitive overload in a teacher CPD session? But yeah, again, 

Let’s dig into that then, because that’s the first time we’ve mentioned cognitive overload, isn’t it? And Sweller and his cognitive load theory and being a non computer scientist who learnt to teach this subject. It’s really easy when you are an expert to think that everybody else finds things easy. I’ve seen so many programming courses that go variable assignment, input, output, and now recursion. 

Yeah, absolutely. 
And there’s this giant pit that you fall into. You’re on your back like a turtle and you can’t get out. And I see that look on the faces of students all the time. 

So, yeah, my lesson slides now are a lot more pared back. There’s a lot more diagrams or part diagrams that I then complete in front of the students. The note section is where I keep my explanations and I don’t know how long it, I dunno, it was far too long it took me, but before I started practicing my explanations.

Actually get into an empty classroom and say what you want to say. Are you doing it with brevity? Are you doing it as simply as possible? And then you can start to build in your analogies and your what william Lau brilliantly talked about in terms of semantic waves where you go from concrete to abstract to concrete back to abstract you pack you unpack and so on.

So you as an experienced teacher you pick up on a load of those analogies don’t you? And you’ve got to be super careful about picking those as well because if you pick the wrong one you can build in misconceptions. You know, , you bake in the misunderstandings and You can do just as much damage with a bad analogy as you can enlighten with a good one.

Yeah, someone pointed out to me, the variable analogy is a box, and I’ve used that with novice programmers down in year 7,8,, And the box thing comes with the possibility of a number of misconceptions, the main one being a box can hold many things at once.

So that’s where you check for understanding with your mini whiteboards.

Yeah, as you get more experience you learn that if you have a bit of code on the screen with the variable num1 being assigned I don’t know four times in ten lines You can put that up and you can say right predict on your white boards What will be stored in num1 by the end of this code?

And you’re trying to draw out that misconception that you don’t just add them all together, or you don’t shove them all in the variable. And by doing that with the handover phase, the checking for understanding phase, the sort of we do it together phase, and especially by, oh, brilliant, I’m glad you thought that. Loads of people think that when they come across variables for the first time, and we can really learn from that now. And getting discussion going about why this isn’t the case and questioning like that, you can turn your classroom into a place where it’s okay to make mistakes. Absolutely. Where we’re learning from this, this is a learning process, so we are not afraid to have a go, 30 answers up in the air you can see 30 different answers from 30 different brains and pick out those misconceptions. And as you get more experienced, you get better at setting up those questions and those examples to check for understanding, to draw those out.

For example, when you’re teaching selection and you do if age is greater than 18, output you can vote, and then you do what will happen for an input of 18. Yeah. Because we don’t read the comparison operator properly. 

I used to call it the bouncer program because it was you can go into the pub and then someone pointed out that I should really not be encouraging drinking.

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So it became the you can vote program. Yeah. And yeah, you can teach, with that one example, you can teach , variable tracing, and dry running a program to see if it will work and testing as well. Yeah, that’s. 

That leads us on to that to Sue Sentance’s really quite fantastic PRIMM, doesn’t it, in terms of code comprehension and learning to read before you can write? 

Yeah. I put a quote in the book from David Gries, computer science educator, 1974, said, if you’re an apprentice carpenter, you don’t get given a load of tools and an example of a finished cabinet, and then be told go and make one, 

 so the idea of PRIMM’s been around some time, reading code before you can write it and getting familiar with it. But it’s good to have the research to back it up. 

Yeah, I think also, though, being super careful with that cognitive load theory and that Willingham idea of introducing new material in small steps, , again, we can fall into that expert trap of we’re teaching selection, so Yeah, with an if and an else, and then we go to a make task and it requires selection and oh, there’s an iteration in there as well, and then we’ve got lists built into the make task as well.

Who was it who described I think it might have been Sue Sentance again. A single line of code can be so syntactically dense. Yes. There’s so much going on. There’s so many concepts to understand, yes. Let’s go back to selection again. You’ve got the selection statement, you’ve then got a condition, so you’ve gotta understand what a condition can be made of. A comparison operator, it can contain a variable, it can contain two variables, two pieces of data, strings, integers, and then you’ve got indentation, and that’s a single line.

So much going on. You can have a subroutine call and then in Python, you don’t even have to go if. Valid input equals true. You could just go if valid input. Yeah, 

hang on. that’s a fun one to discuss when you’re doing selection and conditions and stuff equals true. You don’t need that. Ah, yeah, but I teach it with the equals true. 
And then you can take it off and explain why later. 

I call it the long way round for a lot of my students. I say, I’m going to teach you the long way around and we’re going to do one thing per line.

Oh, it never stops. This idea that we simplify for the age or the level of the audience that we’re teaching to. It never stops because of course when you get to A level you learn functional programming and when you get to university you learn all sorts of esoteric languages that do parallel processing with abstraction and so on.

So the first thing that you teach children about programs is they are a sequence of steps to solve a problem and then you get to a level and they’re not anymore because a functional program is not that. So we’ve got this idea that we teach, abstractions again of the knowledge at each level and then sometimes we have to unweave the abstractions and teach them what the truth is.

Again, it’s are you baking in misconceptions and it’s really hard because it’s tricky and I guess this is pedagogy and this is what we have been researching 

yeah Yeah if we move on from programming a minute. What other pedagogy is there in our subject that, besides programming I’ll give you an example. I teach networking, what’s called a threshold concept of packet switching. Yes.

Just as an aside, someone asked me, do we need to teach packet switching? because it’s no longer in the spec. It’s true that in the OCR spec, you don’t have to describe packet switching, but you can’t possibly understand networking without understanding the threshold concept of packet switching. So I get nervous sometimes when teachers ask me, can I drop this from my classroom? And I go no, it’s a fundamental concept. 

So I get it across with post its. Post it packet switching, I call it, and they write one word on each post it and they write who it’s to and the number of that. Post it in the message and I send them around the classroom and so these post its are standing in for the packets and that’s my analogy but I’ve got to make sure I go back up like you mentioned, go back up the semantic wave and explain how this analogy is the same as packet switching and the ways it’s different. For example, it’s not one word in a packet, it’s a number of bytes and so on. 

Are there any other pedagogical tricks and techniques that you use for the non programming stuff? 

Yeah my overriding thing is before I go into the classroom, I’ve really planned what I want to say and how I want to explain it and then how I want the students to respond to that in the handover phase.

And the majority of the time that will be an explanation, a diagram, checking for understanding with mini whiteboards, think pair share discussion time or cold calling. And again, I’m picking up on those if I expect them to know the answer, I’ll use cold calling. If I need them to discuss something or to have a think and safety in numbers, that would be think pair share and so on. I do almost something similar when we’re talking about CPU architecture, the different parts of the processor.. So we will have some students sat along one side of the room with instructions.

On their mini whiteboards, add this load that, do something else. Yes. And then in the middle of the room, on a table, I will have my CPU. And again, it’s abstraction. So I’m using the program counter the memory address, register the memory data Registered the control unit, the A LU.

So the program counter tells the memory address, register. Which number instruction is next the memory address register then shouts that to memory instruction one That gets brought to the front. Yeah, and if I really want to complicate it, I will have a student counting down as the clock So we’ll have a five second clock speed Five four and it’s got to be the instructions got to arrive at the processor into the memory data register control unit decodes it gives the ALU if it’s Arithmetic and so on and they’ve got five seconds to complete this Yeah, good stuff.

Stuff. And then we go again and we go again. So they’re actually moving the instructions around and if you get a class you can trust, that’s great. 

Yeah exactly. So absolutely fab. Yeah, .What else have I been doing? A couple of revision sessions, with 11s on binary search, and again 

Play the high low game. We’ll play the high low game, of course we’ll play the high low game, I will read your mind. Six guesses or fewer, 64. 

But what I’ll do is Before I introduce binary search In order to do that, you’ve got to master finding a midpoint. And in order to find a midpoint, you’ve got to do integer division, floor division. We will do lots of practice of floor division to get the right answer. Then we will do floor division to find the midpoint. Here’s a list, what’s the midpoint? We’ll practice several of those until I’m convinced they’ve got it.

And then we’ll introduce the idea of binary search, so that We’re introducing in small steps. I’m getting that high success rate. They can all do floor division. They can all find the midpoint now binary search midpoint is our search item higher or lower? Yeah, and then we show them how it works So we it’s just about really thinking carefully about what I’m doing and making sure that I’m pre teaching the skills They need for them to be successful because there’s nothing worse than that Jump from input to recursion when you are absolutely lost

And, and it’s so easy to do. It’s so easy to do. And startling to realize, but some of our lovely students do not do what I do and spend every minute between one lesson and the next thinking about computer science. No, I know. So there is a chance that they may not.

You can’t be remembering the stuff that you want them to remember from one lesson to the next, especially at key stage three. 

Talking of remembering stuff from one lesson to the next, how can we help them do that? So yeah, I’m hinting at retrieval practice. 

 You got a lot of retrieval practice going on, Andy? 

Every lesson. Every lesson. Every lesson. With very few exceptions. And again, at Key Stage 4, Smart Revises is the best platform I’ve seen for that. They’re constantly making changes. It’s worth the money. Constantly making changes and updates.

One of the best things they’ve done recently is introduce topic, guided topic filtering. So with my 10s, as I teach a topic, I can add that to the smart revised question set that my 10s see. And then when they do mixed retrieval, just the topics we’ve covered. are built in there, because retrieval should be something you’ve already encountered.

It’s practicing remembering, isn’t it? Because when you’re sat in an exam, that’s all you’re doing. That’s what revision is. It’s tricking your brain into remembering stuff that it really doesn’t want to remember. I know all the words to the Neighbours theme tune. Not doing it now. No idea why, but for some reason my brain, when I first encountered CPU architecture and parts of the processor, it just slid right off.

So revision is just doing and doing until it blooming well sticks, until that synapse pathway is strong enough. At Key Stage 3, actually, I use something called Quizzizz, it’s that absolutely, it’s that sweet spot of engagement and hard thinking. And if you find me on Quizzizz as Mr. A. Colley, you can nick all my Question sets and question banks it also lets me celebrate, oh this class today we got 70 percent as a class.

Let’s aim for 75, and we can give out house points for quality performances, things like that. It’s great. 

Absolutely. You touched on something that Willingham said there, which was knowing is remembering in disguise.,

that’s, that links back into cognitive load theory, doesn’t it? Because when, as we keep going back to programming, because we’re computer scientists and it’s what makes our socks roll up and down, isn’t it? But when you see a problem to program now. You’ve got a stored bank of experience of problems like that you’ve seen before, and how you saw them solved, or how you solved them yourself.

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So you’re not processing that as new information. So your experience, and the fact that you can retrieve those and remember them, they’re in your long term memory, means they don’t take up. Any of the, is it five blocks? Five things in your working memory. Five new, five new things. You’re not trying to process that as a new thing. So that frees up your working memory to process the new things that are different about the problem. It also means as an expert you can use that experience to focus on the parts of the problem that are important to do that mental abstraction that you need to do. Whereas a New learner can’t do that yet.

They’ve not learned what’s important and what’s not. They give everything equal weight So when you’re saying it’s blooming easy. Of course you need selection there. Of course you need a loop there Because you’ve seen it a thousand times. They haven’t. By practicing retrieval, by remembering experiences or skills we’ve had, you’re removing that cognitive load, you’re removing the opportunity for overload, so they can process the things that are different about that problem.

And it’s all computer science in disguise, isn’t it? It’s pattern recognition. Abstraction. All of that stuff. So, there’s a reason I was talking about best practice and floor levels earlier and that’s because this stuff is proven to make it more effective for our learners to learn new things and without cognitive overload because it’s hard enough as it is 

absolutely you said about noticing what’s different and I Listened to a talk from William Lau about Marton’s variation theory, which Really explains all that.

Yeah, you’ve heard of that. Yeah. Yeah, so So, giving examples and non examples or varying one thing at a time. And so the learners notice the thing that’s varied and how that changes the situation. 

Even the way you set your questions up in your practice. I’ve reworked my binary conversion practice questions. Yeah. So that a lot of my examples. change just the least significant bit from one example to the next so they can get to spot that then evaluates out as one higher in denary. Yeah,. 

Which brings us back to last week with Andrew Virnuls and we were talking about this then about how the principle of the number of bits in a sample, or the number of bits in the bit depth of an image, the number of bits You have on the width of your data bus and so on, are all the same thing.

And it was interesting that Andrew said we had a chat. A few weeks ago about the number of topics there are in computing and how much content there is to cover.

And novice computing teachers will talk about there being 30 topics at Key Stage 3. And Andrew and I could probably think of seven. And I think it’s the understanding of the subject gives us this overarching vision of six or seven strands that everything relates to, whereas novice teachers will see, a unit on Photoshop as separate to a unit on vector graphics and as separate to a unit on data representation of images. 

And the hard thing is in your lessons then how to keep the main thing the main thing and introduce that information in small parts when you can see all these really exciting joins between the topics, and then you’re off on a story.

Yeah. I know, I keep, every time I make a joke in class, I say to the kids, I say, there aren’t many computing jokes and the ones there are aren’t very good. 

No, that is true. So I’m trying to buck that trend. I’m trying to bring in some new humor to the subject. I think it’s necessary. I think that might be a bigger task than sorting out the pedagogy but. Yeah, it 

could well be. Yeah. Because in my experience, I did computer science degree way back in the dark ages the others on my course weren’t particularly funny or entertaining, so I didn’t hang around with the computer scientists.
I hung around with archaeologists and English majors. 

There is. At the risk of alienating the entire audience, there’s a there’s a stereotype about computer scientists, isn’t there, which is wildly exaggerated and, but you hear it everywhere you go. But for most stereotypes there’s a grain of truth in there somewhere.

And sometimes the things that make you like computer science and make you good at it are not necessarily the same things that make you good as a classroom teacher. 

Yeah, that’s probably true. I’ve had this debate online about, does a degree matter? Does I think subject knowledge is important, hugely important.

Otherwise, we wouldn’t be, doing this. But, yes. Not all computer science graduates make good teachers, I think. So 

And not all great teachers, so better make good computer science graduates either. I think it’s . It’s a what did Liam Neeson say? It’s a particular set of skills. . . 

Yeah, exactly. On that threat from Andy there. Given that I’ve got a particular set of skills, a new skill being podcasting. I learned from the best. Go and listen to Learning Dust with Andy Colley and Dave Leonard after you’ve finished.

Listening to this podcast. What’s your week like, Andy? What’s it looking like this week? This week in Laurus Cheadle Hulme, you it’s option year, nine options evening, tomorrow night, which is exciting. And tiring both rolled into one because it’s that chance to change some minds or 

To come 

can anybody take computer science in your school? Yep. Yeah, . I hear about a lot of gatekeeping. A lot of schools are nervous about results, and so they try to steer some pupils away from computer science, which I think is wrong. I would like it to be open to everyone.

I think if you’re gonna come in to the classroom and you’re gonna work hard. Yeah. And you understand as you’re coming in, if your key stage three curriculum has set students up to understand what they’re really getting into. Really getting into. ’cause you’ve gotta love, learn to love the pain a bit at GCSE.

Yeah. You know that’s true. My 10, my tens are my 10. Some of them are really wrestling with Subprograms right now. Yeah, really wrestling and when you said about sequence before I’m thinking yeah Because I’ve just introduced subprograms to them looking at me going I can’t I just do this as three lines of code rather than having to define a subprogram and call it in the main Ascended parameter because we’re doing it a very simple level at the moment.

It’s yes, we’ll make things better later You know, we’re doing we’re taking the pain now they have to be prepared for that and if you’re gonna come in and Work your backside off and get a grade two because you work your backside off and that is a hole in one for you. Then I am as proud of you as I’m as the person who comes in and works the backside off and gets a grade eight or grade nine.

Yeah. Don’t forget, grade two, three can be a positive progress eight score for some students, let’s not forget that.

It’s a big achievement for some students and some of my Best results were low prior attainers, and they thrived in the subject. 

Catherine Elliott talks about what we’ve talked about. That’s these sorts of pedagogies of new information in small steps, avoiding cognitive overload wherever you can, of high success rate of code comprehension.

She talks about those as key techniques in creating an inclusive classroom. And these techniques are just great teaching. And if you are doing that and your classroom is a place where great teaching is taking place, that helps everyone.

Yeah, a high tide lifts all boats is how I explain it, which is the old fashioned phrase, but yeah, I remember the days when, you know, my head of department would go tell me all the ways you’re helping these students, and it would be a list of characteristics, and it would be EAL, and PP, and SEND, and so on, and oh, tell me how you’re differentiating your lessons 20 different ways . And, we’re over that now. We talk about inclusive and adaptive teaching, which means, teaching it well and responding to the needs of the pupils.

 Know your subject well. Know your subject well. Explain it well, model it, check for understanding well, hand over that hand over lesson stage well. Give students opportunities to practice what you’re trying to teach them and then explore and vary William Lau and the variation theory with your better programmers, right, how many different ways can you make this happen? And have you seen that that competition they have every year of making the worst user interface? 

Oh yeah, I love that. 
Take inspiration from that. What’s the worst way you can make this program? What’s the most inefficient way you can make a program that does this? And have some fun with it at that creative end. You can’t take a solo on an instrument till you’ve mastered your foundations and you know your scales and then you get creative with it once you can play with the forms and break the rules And that’s the creative end of computing for me.

So yeah it’s about quality teaching. And that comes back to, there’s things like, now is intervention season, isn’t it? It’s how many extra revision sessions are you running for this? How many days of your Easter holiday are you giving up? Actually, and this is a big bug, bear of mine.

Actually, the number one time you get with those kids is in the classroom, in your lessons. You don’t get any chunk of time that’s bigger than that. That’s where the difference is made. 

I’ve worked places where the head of department had me rattling through the curriculum to leave loads of time for revision and I knew it felt wrong at the time because I was just flying through the content ticking it off, if you like, so that I had time to revise it, which meant that they weren’t getting it. So they needed more revision time. And it was a self fulfilling prophecy. 

So by the time they get to the revision, they’ve got no confidence in it. Yeah. Yeah. That high success rate, that, that small steps, high success rate is what builds learners confidence in your subjects, especially in a hard subject like ours.

Yeah, absolutely. So you’ve got options evening tomorrow ? Sell the 
subject tomorrow. I’ve got loads of Key Stage 4 lessons at the moment. I’ve got some fabulous groups of kids who are just smashing it out of the park and really lucky this year.

I did see when I popped in, I loved the idea that you had this open ended, long list of programming problems that they were just jumping onto at the end of lesson, and I thought that was fab. 

That comes from something you said a while ago about you never finished. Yeah, so what I’ve done is I’ve taken the Craig and Dave, the TIME and the mission encodable time Programming projects and I’ve adapted them a bit. I’m delivering them through Repl. it at the moment, but we can’t do that anymore Can we? So I’m gonna have to find a different platform And yeah especially my year 10s. They’ve just absolutely gone nuts for it Yeah, in a way that I’ve never had before and they’re just loving it.

They’re smashing through them they’re doing, they’re doing four in lesson and then going home and doing another six. 

That’s great. It’s great when you get that.
It’s brilliant, but I’ve got so much marking to do. Not marking, reviewing of code. 

Reviewing, yeah, so yeah, I was never a big fan of marking myself and so I tried to do as little as possible and do things like, reviewing stuff online that they’ve done or self marking quizzes and stuff. Like I said back in class at the time, those mini whiteboards again, get it under the visualizer.

That’s feedback right there when they can do something about it. 

Feedback, not marking, that’s what we say. I know I said earlier, you’re never finished. And I’m grateful that you mentioned that, that blog. I blogged about it, didn’t I? I banned the words, sir, I’m finished from my classroom because because basically they should never be finished.

They should always have something to do. But time is run out for us we are finished. This is the problem, we talked about brevity of explanations, but when you get me 

going. Both of us the same, so we can talk about computing pedagogy all day. And I’m sure we will again, because we can come back and talk about something else in a few weeks.

It’s been great to talk to you. Andy Colley, thank you for coming on the podcast. An absolute pleasure. Thanks for having me, Alan. 

And this has been how to teach computer science, the podcast I’m Alan Harrison. If you want to give me feedback or get involved, just go to. HTTCS. Online or check the show notes. Remember, if you liked this content, please subscribe. Tell your friends, buy my books, leave a review of my books on Amazon, or at the very least buy me a coffee details at HTTCS dot online. So don’t miss next week’s episode when we will have the amazing Harry and Anna Wake of mission encodable, that was a fantastic interview and you don’t want to miss it so. I’m heading down to that London at Easter. So I’m just printing some stuff to read on the way.

But I’m printing black and white.

Okay. Okay. 
 

What. 
Jean!. Where the hell is the duplexer cover? 

If you are grateful for my blog, please buy my books here or buy me a coffee at ko-fi.com/mraharrisoncs, thanks!

In case you’re wondering, R, is a programming language used mostly for data science. Also no printers were harmed in the recording of this week’s episode. Although this one’s going to get it in a minute. It’s been lovely to talk to you. Speak to you next week.

Categories
AI computing teaching and learning

Stop calling it cheating.

Stop calling it “cheating”, take a step back and consider why you set that assignment in that way and what you hoped to achieve by it. There might be a better way.

They’ve used AI to cheat!

Now if you’ve ever said this, or even thought it, then some things are clear.

  • One: you have set a piece of work, usually called an assignment, to be completed outside the classroom.
  • Two: marking or grading the submission is important to you: perhaps the grade you give needs to be recorded, reported to stakeholders or counts towards some certificate of achievement.
  • And three: that you expected (or hoped) the students would complete the work independently, using only what they know and perhaps some “approved” source material such as a textbook or a website, such that what was handed in accurately reflected what they knew.

In this article I hope to encourage you to question all three of the above criteria before setting an assignment, and a fourth one, namely, that you need to grade that assignment at all. Because it is only by such introspection that we will arrive at a solution to the idea that your assessments are unreliable because of “cheating” with AI.

Why assess?

In this presentation on assessment, Tom Sherrington explains that assessment serves at least two different purposes: feedback and reporting. Formative assessment provides feedback to students and teachers informing the teaching and learning process, while an assessment designed to report progress to stakeholders can be useful for such a purpose but is much less likely to have an impact on future learning.

We must therefore consider why we are assessing, and ensure the vast majority of our assessments are of the formative variety, giving students insights they can use to answer the question: “What do I need to do in order to achieve my goals?”

Formative assessment helps the teacher too, showing them where they need to direct their efforts in instruction and curriculum design. If the data shows that a topic is poorly understood then we can re-teach that topic, if on the other hand they have grasped it early, we can move on more quickly.

When teachers complain that students have used generative AI (GAI) tools such as ChatGPT or Bard, what they usually mean is that some piece of creative work being used as a summative assessment appears to be the work of a GAI, and therefore it is of little validity as a measure of progress. However, to think like this suggests an over-reliance on the validity of such assessments in the first place, given that “cheating” was entirely possible before GAI in the form of copying, plagiarism and essay mills. Also the idea that an essay completed without any such assistance would somehow be an entirely valid, reliable measure of a student’s abilities is a flawed notion in the first place. All assessment is an unreliable proxy for what we would really like to know, which is “what have they retained about this topic (domain)?”

Someone conducting an educational assessment is generally interested in the ability of the result of the assessment to stand as a proxy for some wider domain (emphasis mine).

Dylan Wiliam

Generally these complaints about cheating arise only when performing summative assessment: when the teacher needs to mark or grade the assessment, thus the result is being used to report to stakeholders on the students’ performance, or counts towards an award (such as a diploma or certificate). But as we heard above from Sherrington and Wiliam, this type of assessment has limited validity and has little impact on future learning.

Why the essay is dead

[Teachers should] assume that 100 percent of their students are using ChatGPT and other generative A.I. tools on every assignment, in every subject, unless they’re being physically supervised inside a school building.

Kevin Roose in the New York Times 24th August 2023

It’s true, the independent essay or other creative written assignment is dead as a valid (reliable) measure of what students have learned. Even if you are testing different forms of knowledge, to include declarative knowledge as well as practical knowledge (skills) and conditional knowledge (judgement) – if the means of demonstrating this learning is via an essay completed outside the classroom, you cannot rely on the results because of the ease of use of GAI on top of the more traditional methods of “cheating” mentioned above. Neither can we rely on so-called AI detectors, because they produce too many false negatives and positives, and students can learn to game the detector, or indeed get GAI to do so!

But you may have noticed that I have made the same point a few times now, this is only an issue if we need a reliable, summative assessment, for the purposes of reporting to stakeholders or awarding a certificate. How many of your assignments genuinely have to be used in this way? Can you set a supervised assessment in class once per term, and get enough data from that to feed your reporting systems, and switch out all your other assignments for formative assessment that truly moves the needle of attainment?

Vintage line drawing of a human head labelled with traits such as benevolence and cautiousness, historically used by phrenologists

All assessment measures a flawed proxy of what is inside their heads.
Image Credit: rawpixel.com

Moving to formative assessment

In the UK, compulsory schooling (K-12) is assessed with terminal exams, at 16 and at 18. We do not have a high-school diploma, grade point average (GPA) or a tradition of graded essays and term papers. It’s therefore easier in the UK to favour formative assessment. Although schools require performance data at least once per term, how this is gathered in each subject is often a matter for the subject leader.

As a Head of Computing I would usually capture my data through a mixture of auto-marking tests – making good use of multiple-choice questions (MCQs) – and a short written test conducted in class maybe once per term. Students on GCSE courses (14-16, years 10 to 11) would sit two “mock exams”, in the summer of Y10 and around Christmas in Y11. A-level students (16-18, years 12 and 13) would sit a written test at the end of each unit, so around 20 tests across the two years. I would set lots of independent work to be completed outside the classroom, but crucially none of this would be marked or graded beyond a measure of effort – did they put sufficient work in?

But importantly, I would use lessons to deliver new material, yes, but also to check for understanding, support the learners in understanding what they need to do next, and use formative assessment techniques to really help them make progress. Let the students assess themselves against criteria you set (self-assessment) or mark each others’ work (peer assess).

Or in a practical programming lesson where they are all solving a series of problems, I would walk the room helping them, and they would help each other. Or if it’s a GCSE or A-level class, and I’ve set an exam question such as “How will robotics affect the world of work?”, I will give them ten minutes then choose some students’ work to critique as a class, then give them more time to improve their own work: rinse and repeat. Without computers, a teacher visualiser device is all you need and this technique is explained here.

The “ungrading” movement

Ungrading is an approach that deviates from traditional grading systems, favouring a more feedback-centric model. Instead of focusing on scores or letter grades, the emphasis shifts towards providing detailed, constructive feedback, encouraging students to reflect on their learning and grow from their experiences.

Leon Furze

This movement away from graded assignments in the US sounds a lot like what goes on in many UK schools already, and I recommend US readers of this blog check out the link above, or Jesse Stommel’s blog post here. The case for ungrading is that a focus on grades drives students to engage in academic dishonesty. 

When the primary aim of education shifts towards attaining higher grades rather than gaining knowledge and honing skills, students are more likely to turn to GAI for completing their assignments.

Emily Pitts Donahoe

Indeed, for students with perhaps 20 essays each term, many with part-time jobs or caring responsibilities, and a GPA to maintain, using GAI is not “cheating” it’s sandbagging their future. And as I wrote in my previous blog on GAI, ChatGPT can level the playing-field for students with disabilities or assist learners for whom English is an additional language

So wherever you teach, moving away from graded assignments removes one of the drivers of “cheating”. If you can deliver sufficient reportable data with fewer graded assignments, then you will get more authentic work from the students.

Feedback and motivation

I want to go back to Tom Sherrington’s slides and revisit the purpose of assessment. Remember, if you’re grading, you’re not giving much formative feedback.

A component of learning, as students build their schema for any given knowledge domain, is a metacognitive process that drives motivation and intentionality: a knowledge of self – what do I know? What do I need to know/do/focus my attention and effort on in order to achieve goals? 

Tom Sherrington

Once we start giving feedback instead of grades, showing the learners that we care about their progress, then chances are they will care more about the process too. Assignments will become genuine expressions of what they can do, and they will value your feedback and become more motivated to do their best work. Not always, and not all students, but we will move the needle if we give it our best shot.