How is Generative AI changing the experience of learning to code?

Perspectives of undergraduate physics students

Dr Joe Marsh Rossney, FHEA

UK Centre for Ecology & Hydrology (current)

School of Physics & Astronomy, University of Edinburgh (outgoing)

October 1, 2025

I think it’s making it more enjoyable. It’s getting at the part of programming that I enjoy…

when they were explaining to us about the guidelines for using AI… I kind of was like, OK, I’m just not going to use it.

I don’t care if this makes me a boomer, I don’t think that using AI to learn how to code is a good idea.

Why do I need to know to do this? Because in the future when the AIs get better and better, maybe I’ll never actually have to code.

Introduction

My CV in brief

  • Master in Physics (Univ. Warwick, 2018)
  • PhD in Theoretical Physics (Univ. Edinburgh, 2024)
  • PgCAP (Univ. Edinburgh, 2024)
  • Research Software Engineer (UKCEH, 2024-present)

Education credentials?

I’m a passionate amateur who has taken available opportunities to develop my practice ‘on the side’.

Why am I here?

Last year I led a research project funded by PTAS:

How is generative AI changing the experience of learning to code?

  • Started as coursework for PgCAP “Researching your Teaching”
  • Focus on UG physics students
  • Collaboration with two UG students
  • Interviews took place last July & September
  • Analysis & write-up is… still ongoing

Background

Programming courses in SoPA

  • Essentially Python-based
  • Main foci: data analysis, modelling & simulation
  • In-person workshops, strong TA presence
  • Assessment through ‘checkpoint’ tasks and/or projects

Special mention: Computer Simulation, developed over ~15 years by Judy Hardy (Professor of Physics Education).

A lot of care has gone into these courses.

Course Organisers

Late 2023, I asked course organisers:

…tell me about any policy, guidance or messaging aimed at undergraduates about the use of these tools.

(1/4)

We specifically say “AI tools assistance not allowed” and say that in the same context as plagiarism policy, so consequences are the same as using someone else’s work.

(2/4)

My goal for next year is to completely re-work how the course is taught, and instead allow and explicitly encourage them to use AI throughout.

(3/4)

I don’t know that I will encourage them to use AI, but I will make it clear that they need to use it to help them understand what to do and not simply do it for them.

(4/4)

What would be interesting is if a chatbot could replace the demonstrators in asking the students various questions about their code.

Existing research

Quick scan of the literature in January 2024 did not throw up anything that ‘seriously’ focused on student perspectives towards AI technologies in programming.

Really nothing that ticked all the boxes:

Why do I care about this?

  • My own experience with UG programming courses was highly formative: closest I came to experiencing creative freedom!
  • For whom is GenAI a facilitator of learning, and for whom does it create a diversion from a more valuable learning experience?
  • This transitory period is very interesting from a socio-historical perspective.
  • We know little about the drivers of attitudes and behaviours towards GenAI - are the students even listening to us?

Project Overview

Team

  • Me
  • Sarah Hogarth (BSc Physics, 2024)
  • Naomi Garcia Elizondo (MSc Physics, 2025)
  • Ross Galloway (Professor of Physics Education)
  • Britton Smith (Chancellor’s Fellow, Astrophysics & CO for Computer Simulation).

With some valuable support from

  • Kristel Torokoff (Senior Lecturer, Physics Education)

Key aims

  1. Gather evidence to inform educators: Identify elements of pre-AI courses worth preserving, risks and opportunities.

  2. Incorporate a broad range of perspectives: who feels what way about these developments and why?

  3. Observe trends in the perspectives, behaviours, learning orientations of students who (initially) learned to code before/after (with/without) GenAI.

  4. Establish a baseline against which future studies may be contrasted.

Interviews

Round 1 Round 2
When? July September (w1-2)
Survey advertisement Discord Email/posters/in-person
Num. responses 9 160
Num. interviews 6 18
Interviewers Joe Joe/Sarah/Naomi

Interview structure

  • Semi-structured, with open-ended questions and space left for follow-up
  • Interview guide loosely organised into 3 parts
    • Tell me about a coding project that was fun
    • Tell me about a coding project that was important (for your learning)
    • Tell me about a coding project where you used GenAI (if applicable)
  • Also discussed: group work, motivation, future plans, creativity, incorporating GenAI into courses

Analysis

Results

  • Reminder: interviews took place in July/September 2024
  • Caveat: analysis is not yet finished

Immediate observations

  • Adoption appears high among novice programmers, but mostly confined to free version of Chat-GPT (3.5).
  • Adoption more difficult to predict among more experienced programmers: split into using extensively or not at all.
  • Identifying archetypes was very challenging: relationship between learning orientation and GenAI use was complicated.
  • Noticed differences between yeargroups, but small sample + confounding factors limits conclusions.

What are students using GenAI for?

  • Many students report using GenAI as a syntax reference - far more than for code generation.
  • Many of these were experienced programmers, who just liked not having to remember all syntax all of the time.
  • A couple (again, more experienced) had used GenAI to quickly learn new libraries or languages.

Student T

5y, experienced programmer, even before starting UG. Little GenAI use

So I don’t use it very much for programming…

except for trivial lookups…

I do use it for… like one line things so my most frequent one is probably like how to make a 2D NumPy array that’s this many by this many because I just can’t remember like all the brackets and things like that. So I’d say, yeah, I use it quite a lot for silly little lines that I could look up if I wanted to, but… it’s much easier to get that from AI.

Whereas I wouldn’t use it for like big chunks of code. I think I’ve tried it a couple of times for that and … it’s just not always right and it’s, yeah, it confuses me more than just trying to figure it out myself.

Students are routinely going straight to GenAI when standard, non-AI tools could serve them just as well

This makes sense, since they are not taught how to use any editor tools, which have a somewhat high barrier to entry.

However, some students articulate how GenAI is not just more convenient than search, but can be more helpful:

when I ask it a question, I’m able to get almost sort of contextualised documentation. And that’s something I’ve used it for if I’m learning a new like library and I kind of want to get started quickly, but I hate having to like look through documentation, so I’ll just kind of prompt it a bit and I can get started like that.

Student H

3y, novice programmer, extensive GenAI user in many areas of life

oh I don’t know what to do, like, what should I do? I’m going to ask the AI, is something that I’m used to. That thought process is a kind of normal for me now.

They want to enjoy programming, but find it hasn’t yet “clicked” for them.

I feel like if I was good I probably would enjoy it, but it’s just always something that I feel like I’m… I always feel somewhat behind in it. I feel like I should be able to do more than I can quite often.

They find it stressful to be confronted by problems they cannot solve.

To make matters worse, their experiences asking for help from peers and lecturers has not been good.

They were just quite, it’s written there, why are you asking that question? It’s like, oh, no, OK. And then once you have a couple answers like that, you end up just like not really asking anymore.

So Chat-GPT really helps them

but then, I can ask that question to Chat-GPT… and it can rephrase and it will pick out the just the exact piece that I need.

Perceived usefulness, motivation to use GenAI

Most students saw GenAI as error-prone on complicated tasks but useful for documentation, debugging and ideation.

Some students have spent time experimenting with how to get the results they want from GenAI, or testing different GenAI tools.

if I have a problem and I’m wondering if it can do it, I’ll spend quite a lot of time rephrasing and seeing what it actually can do, you know, breaking it apart, see if it can do certain bits, stuff like that, just to see the ability that it has at the minute.

Me: did you ever ask it to just generate some code?

I did that probably every time, but it was more to see what it would do… it was still good I think to see how it went about the problems, just to cross check as well for future reference too.

Others report trying, finding it frustrating or not helpful, and quickly giving up on it.

when it works it’s great, but I think most of the time I’m just kind of frustrated and so I move on very quickly from it.

Not knowing how to use it:

I think right now I struggle to find ways to use it in learning to code

Frustrating experiences have a knock-on effect:

by like the third change it’s already breaking constantly and I need to constantly like look through it and figure out why it’s breaking … and it’s just like, I could probably have gotten like properly good at using matplotlib pyplot… if it wasn’t for the stupid decision to save a bit of time by using ChatGPT

Or just finding low motivation to try:

I think I’m a bit slow to like, pick up these kind of things, like I’m always a bit, I don’t really want to.

  • Why are there these differences?
  • How can we use these insights to shape practice? Do we want to encourage more tinkering and experimenting?

Who is not using GenAI?

Student F

  • felt like they were worse than their peers in 1st year
  • But very motivated & strategic, wanted to level up their skills
  • Now have a job in software, low-level
  • Felt intimidated by peers, worked alone: might think GenAI appealing!
  • But no interest in GenAI!

So for example, I stick with like my old phone for like years until it’s literally like, barely working. And, you know, I see like new features and I’m like, oh, this is like, unnecessary and stuff.

I asked if they might use it in future?

But, I feel like it’s not at the stage where, you know, it can replace human creativity and everything, so, I don’t think I would use it for like, actually coming up with new solutions and things like that.

So a mixture of individual traits, low opinion of its abilities.

Student V

And then like for code, I just felt like it was cheating. Erm, (visually contemplating) which I think it… isn’t. I also don’t really know what to ask it to give me the right things, so I think I’m just not, I’m just not that comfortable with it and so I’ve never really tried.

I’m not like completely closed off to it. I just, like I’ve read that it’s quite bad for the environment, is one thing. Like I’ve seen some stuff about how like chat-GPT uses a lot more energy than just like a plain Google search would and, so I’m like if I can just Google it, why not.

I’ve never been like, oh my goodness, like, I just really wish that this were done, like, instantaneously and like I could just, like, get this like robot slave to do it for me.

Ultimately, this student does not feel good about using AI.

Is this being taken into account on the balance sheet? Is it actually worth insisting that a physics student must learn to use GenAI in order to complete a programming course in their physics degree?

Hesitations

Student E is a highly experienced programmer

I think, for a bit of my time I became quite reliant on it. And then I’ve stopped more recently.

Me: “is that because you’ve moved on to CoPilot, or any other reason?”

I don’t really know why actually. Maybe I’ve just got more confident in my abilities

Student G is a novice programmer who both feels that GenAI has made them a better programmer, but intentionally stopped using it after realising they were reliant:

I was using AI for like homework and stuff like that… I shouldn’t have done and it made it harder for me to learn how to code. But when I was actually like learning how to code outside of class, I wasn’t using AI. I was using like human resources I had available to me which was helpful. It was better.

Student U (1st year!) is a very strong programmer who frequently takes on advanced projects independently, and has struggled to find peers to work with at their level. They used GenAI in the past, but…

I think my thoughts around them [AI tools] are you know a little bit tainted by … well the air that surrounds them, that is, you know, it’s like crypto but stupider somehow.

Should it be incorperated into courses?

Almost all of the students reacted “no” reflexively, or immediately expressed concern. Some reflected and came round to “maybe, only if done carefully and not from the beginning”.

Student A:

I think the main thing you would have to be careful about is that you’re not getting to generative AI to completely solve the problem, because for earlier programming courses where it’s very important to develop an intuition, you can just use it to solve the problem without getting any sort of, again, problem solving development yourself.

Student E:

But for people that maybe had done less in the past, they wouldn’t learn anything… Like yeah, AI is great but you still need to know how to code, like fundamentally.

Student N:

even though there is value in talking through your code, there is a big difference between asking … and doing it yourself. Relying entirely on it is a mistake. Having a course that says, sure, use generative AI, is a mistake.

Student V:

you shouldn’t really be given like integral-calculator.com to learn how to integrate.

but immediately went on to say,

if it’s just become a part of how you program in the modern world, then it should be taught, but not as like a all powerful ‘this is gonna solve it for you’

Student I has a different view:

I think it’d be nice to have at least maybe one or two sessions to go over and be like, OK, this is what you can use Chat-GPT for, and to sort of like not feel like you’d be punished for using it.

Clearly banning it isn’t a solution

one of the problems actually I found with the course last year was it was very ‘don’t use AI’, but you could just ask the AI and it would give you the complete run of code.

Summary (1/2)

  • Students are emphatically not uncritical adopters
  • Their attitudes towards GenAI are complex and varied
  • Views are volatile, self-questioning
  • They are seeking reassurance, guidance and engagement from instructors
  • They really want to be included in the conversation, but many of them feel as though it is a confrontation at the moment
  • It would be very hard to extract this level of nuance from a survey

Summary (2/2)

  • Generally, students thought capabilities of GenAI are very limited, but often this was not backed up by their own experience or research (same for me!)
  • Students are routinely going straight to GenAI when standard, non-AI tools could serve them just as well (but they don’t know about them)
  • Undoubtedly, helping students come to an understanding of what GenAI is actually capable (and not capable) of is an important requirement.

Closing

What’s left for this project?

  • Conclude analysis
  • Present key results on project website
  • Publish preprint & submit to journal
  • Teaching matters blog

What’s next for me?

  • Part of my new role involves training research staff, including postgraduate students: I am still thinking about this!
  • I ran a workshop on AI coding tools at RSE Conference.
    • Around 90 attendees! Lots of notes to synthesise…
    • Highly mixed picture remains: experience level does not determine use of AI.

I want to show it’s possible to enhance learning and research without over-reliance on big tech and resource-intensive cloud computing.

Thanks for listening!

Questions?

Backup slides

Priors & theoretical influences (1/2)

  • Student-centred learning (Dewey 1916),(Rogers 1969),(Entwistle, Hanley, and Hounsell 1979)

  • Structure vs individual agency

    • What structural factors lead to ‘wrong’ use of GenAI?
  • Social & cultural context

    • Group working, students as teachers
    • Student-teacher relationships (“feedback without trust is just noise”)
    • Attitudes towards GenAI

Priors & theoretical influences (2/2)

Existing research

Quick scan of the literature in January 2024 did not throw up anything that ‘seriously’ focused on student perspectives towards AI technologies in programming.

Sun et al. (2024) (Feb)

  • Semi-structured interviews with \(n=43\) Educational Technology majors (China), following RCT introducing custom GPT into Python assignment
  • Three ‘themes’ identified: (i) “services offered by ChatGPT”, (ii) “stages of ChatGPT usage”, “experience with ChatGPT”

Sheard et al. (2024) (March)

  • Semi-structured interviews with \(n=12\) CS university instructors (Aus/NZ/Finland)
  • “our goal is to prompt dialogue between researchers and educators”

Mahon, Mac Namee, and Becker (2024) (July)

The goal of this paper is to provide an up-to-date picture of the emerging role of GenAI in CS1 courses and offer a detailed, research based roadmap for educators contemplating its integration into their teaching practice.

Boguslawski, Deer, and Dawson (2024) (July)

  • Semi-structured interviews with \(n=12\) students & \(n=6\) instructors, applied sciences course (Germany)
  • Focus on the relationship between motiviation and LLM use
  • Original purpose: inform design of an online learning platform

Really nothing that ticked all the boxes:

Transcription

  • All interviews conducted on MS Teams
  • Scheduled 45 minutes (-15 +30)
  • Edit Teams’ automatic transcriptions in-place to correct errors and redact identifiable info
  • Download and format to make human-friendly using a Python script1

Analysis

First approach (QualCoder)

First round: used FOSS QDA software1 to mark up transcripts

Second approach (Obsidian)

Realisation: I am doing an exploratory study and I need a tool to help me explore the data!

  • Switched to linked note-taking app Obsidian1
  • Just a collection of markdown files - suitable for collaboration via git/GitHub
  • As a bonus, get backups and version control!
  • Easier to collaborative with Sarah & Naomi

Second approach (Obsidian)

Case file

Quote file

Observation file

Theme file

Work in progress!

Background / Literature file

More Results

Superficially similar students have very different experiences

Student B and Student E are superficially similar:

  • Both learned to code very young
  • Found university courses easy
  • Work on coding projects for fun in their free time

Student B uses free Chat-GPT as “contextualised documentation”

Documentation is usually pretty general online, but when I ask it a question, I’m able to get almost sort of contextualised documentation.

but rarely bothers with code generation

when it works it’s great, but I think most of the time I’m just kind of frustrated and so I move on very quickly from it. I don’t continually ask for more help.

when I pointed out that free Chat-GPT was not the cutting edge:

I think I would struggle to get it to generate more than a few things at once just because, then it would, kind of, I would, I’d have to really like, look at it and then understand it, and I might as well write it myself

Student E started using Chat-GPT early and quickly moved onto CoPilot in VSCode

it’s just helpful, isn’t it? Like I don’t remember all syntax at all points. It just speeds up the workflow.

Student E challenged my expectation that “creative coders” would be less interested in GenAI

I like doing things from scratch if I can.

I just find it inherently quite interesting. I like problem solving and it’s… the only place I find myself feeling like actually creative anymore.

Ownership

One of my initial research questions: do students view GenAI as a tool or collaborator? Answer seems to be tool!

I mean, I just see it more as a tool, right? You’re still the controller of this tool, it just makes you more efficient and quick.

This is bolstered by the way students were using GenAI - for relatively simple ‘lookup’ tasks, or perhaps debugging or simple autocompletion.

Interesting to see if this changes as students start using the ‘vibecoding’ tools like Cursor, or Canvas from OpenAI) which seems explicitly designed as a kind of conversational partner.

Student C

Me: Do you think it’d be reasonable to say that ChatGPT is a co-author of your code?

Yeah, I would not hesitate to say that.

But they mostly describe it as a tool.

Student F

Student F (never used GenAI) talks of following an online tutorial

Yeah so I followed that, but I was making sure to actually like do all the coding myself as well, like along with it. And then I was like, I was like branching off, like doing things a bit my way as well.

Suggests that they do not need to start from a blank slate to feel like a project is theirs.

Students struggling with time pressures

Strong message - don’t use GenAI as an excuse to give us more assignments with shorter turnaround. We already feel like we’re not getting enough time to fully engage with material.

Student I

Remember Student I, one of the strongest advocates of GenAI. “How would you sum up your view towards generative AI?”

Timesaver. I think that time saving is the most important thing. Because I can do everything that Chat-GPT would tell me to do, but it can- for me it can take up to 10 times as long. And so with lots of other work going on that isn’t coding based, like quantum mechanics hand-ins or master’s projects, or that senior honours projects going on, to be able to have something that’s just: “I’ve just saved you two hours.”

What do we make of this from an educational point of view?

Really begs the question: how much adoption is driven by the desire to carve out more time for other things (e.g. studying for other modules, or just leisure time), rather than students finding it beneficial for their learning. Programming courses do not have to follow software companies - shouldn’t be cramming more into courses to make them more “productive”!

Student N

Student N’s interview lasted nearly 70 minutes. They were very critical about the university, but ultimately in a constructive way.

in a university physics degree, there is not time for that … you don’t get this chance to practise and try things and experiment and you know, learn in the same way because you have, because … you’re so beholden to the deadlines.

Student D

Student D is an “early adopter” who used various models, but still liked to tweak and tinker with the output.

So in the coursework you don’t have time to … pinpoint these mistakes, never understand to prevent a future mistake causing by this. It just stacks up and you’ll never know.

Student Q

Student Q is motivated to improve their programming, but prioritises their mathematics courses:

that’s always my worry with the with coding courses… You kind of don’t know what kind of coursework load you’re signing up for before you do it.

Student C

5th year, little programming experience before starting their degree.

Their account of a ‘fun’ project was a short (two-evening), self-contained side project that demonstrated a statistical concept.

They enjoy using GenAI when programming:

it’s, helping me in the parts that I don’t enjoy, which is going into the minutiae and the excruciating detail of there’s this library with these methods

I’m still having to do the parts that I enjoy, which is, you know, trying to break something apart, try to analyse something, try to figure out what’s really happening, translating everything into actual words and code.

However, when asked about an “important project”, they talked about a very frustrating experience, an internship where they had to use a large numerical model written by their supervisor.

having to understand someone else’s code that they’d written, and then there was all these things going on. I think that kind of kind of pushed me up…

So I had to just go through it and understand what it was happening … and then figure out how to make my own edits so that it would work in the way that I was supposed to be doing.

Me: were you having fun?

Oh fuck no. No, it was real frustrating. It was very tiring.

Me: why did you not use GenAI to help?

It was such a big repository that it just felt, I couldn’t, you know, how do you even upload the whole thing?

And then, you know, another thing is that it belongs to someone else. I wouldn’t have felt comfortable doing that.

Despite being highly positive about GenAI for programming, they have not fully embraced it

I am cautious about using AI outside of that, like it’s really only programming that, where I’m comfortable using AI.

For them, programming is not a creative or artistic endeavour, but a tool to get at interesting problems, and GenAI is a tool extension.

I wouldn’t use it for anything that involves like creativity or art.

Student I

Student I found learning to code at university extremely challenging:

it was like learning Greek for the first time

They felt intimidated by peers who were already experienced and could complete workshop assignments easily

Any kind of interaction with peers was incredibly stressful

They decided to “tactically fail” the course (Comp Sim) so that they could spend the whole summer holidays focusing on learning to code.

I basically gave up on that course by the end of Week 2

They felt instructions were insufficient, and assessed workshops didn’t give them enough time.

Unsurprisingly, they are one of the strongest advocates for GenAI as a time-saver.

I can do everything that Chat-GPT would tell me to do, but for me it can take up to 10 times as long.

Despite a difficult start, they find programming rewarding (but do not enjoy the process by itself)

I think it’s just I get a great sense of, like, achievement and accomplishment when I’ve spent, let’s say, three or four hours trying to do something and then, you know, you get so many errors … because you know, I can’t necessarily write code that just works straight out the gate. You know, you spend a lot of time doing it and then it works. And you’re like, wow, that’s so cool.

They still find it satisfying to debug code with the help of GenAI

It’s nice enough that I can do that [solve the problem], but in my mind I’m now at a stage where it’s like ehhh (shrugs) I’d rather just be able to go “Mr GPT,what’s going wrong?”

And when I can get it fixed … it’s still satisfying. It’s still nice that I’ve been able to fix the problem, but it just stops me spending hours on it.

However…

I am like presently aware though that it probably would have made me a worse coder in the long run though, because it was a very good thing for me to have had to go out and actually find stuff first. I think it would have made me too lazy.

They insisted that they made the fastest improvements when working on a group project

whenever I did overcome that [social anxiety] and actually asked peers for help, I did get the most benefit from that.

the times when at university that I have become a lot better at coding has been when I’ve been working in a group. And to me it seems like it’s much more realistic to the real world … I do think that coding in groups of three or four… whenever I’ve done that with peers, my understanding and knowledge of what the code is doing and the code that I’ve produced as a result, have just really increased, really improved.

Students thinking like teachers

Student A

the main thing is just making sure that it’s accessible for everyone, so that even if you have like no- limited knowledge, or good strength of knowledge, everyone’s kind of like in the same boat together, and able to move forward with each other.

Student N

the best possible solution is to be kinder to its academics, to its researchers, to its staff, to pay them more, to give them more time.

you don’t make progress without making people happy and content and unstressed and not feel like they’re under pressure

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