[ffdixon1]

Is overuse of generative AI by students acting like hyperprocessed foods for learning?

Quick dopamine hits. Immediate satisfaction. Long-term learning deficits.

How to break this cycle? I wrote this article to try to answer this question.

[hackyhacky]

Say what you will about Oreos and other processed foods, but they do actually contain calories. They are legitimately food.

Here's my experience as a professional educator: AI tools are used not as shortcuts in the learning process, but for avoiding the learning process entirely. The analogy is therefore not to junk food, but to GLP-1, insofar as it's something that you do instead of food.

Students can easily use AI tools to write a programming project or an essay. It's basically impossible to detect. And they can pass classes and graduate without ever having had to attempt to learn any of the material. AI is already as capable as a university student.

The only solution is also hundreds of years old: in person, proctored exams. On paper. And moreover: a willingness to fail those students who don't keep up their end of the bargain.

[ffdixon1]

Oreos are food, but only good in controlled quantities. During covid, many of my co-workers cited putting on extra weight as they were unconsciously snacking on junk food when working at home. It was just to easy to have another bite when the plate of food was next to their mouse.

For learning, I think having an Oreo cookie (using AI) is OK once in a while, especially if your hitting a wall and can't get through, but it's a really, I think, a very steep slippery slope that leads to avoiding the learning process altogether.

I remember as a co-op student spending three days solving a particularly subtle bug in a C-based word processor. My grit was rewarded. On day three, I vividly remember staring at the code and the solution just popped into my head. That was one of the most formative experiences in my earlier years as a developer and feeling of elation never left me. I worry that AI will take these moments, especially early in ones career.

Our brains have not changed in hundreds of years, and I agree that the in person experience is actually the best. Humans learn best from humans. I'm trying to learn French, and Duo has been sad for a few weeks due to my absence, but its not having the same effect on me if it were a human French teacher was was sad with me.

Regarding failing students, I personally had to take summer school twice and still ended up failing grade 12 and repeating the entire school year. Why? I was too focused on computers and nothing else. In retrospect, taking summer school and repeating grade 12 actually helped me catch up at time when the stakes were low. If I hadn't, I would have definitely failed later in life when the costs were higher.

[dymk]

It doesn't even have to be on paper. That computer science exam can be done on a monitored university computer. The only bit that needs enforcement is not using outside resources, to show that a particular knowledge and how to apply it is actually in one's head.

[trilbyglens]

Here in czechia they still do oral exams where you sit in a chair in front of an instructor and they ask you questions which you have to answer by speaking. I don't think there's any better way to show actual content mastery than that

[JohnKemeny]

Not everyone does their best thinking under pressure—some students know the material well but struggle to perform in a high-stress oral setting.

[hackyhacky]

Jo, bohužel takový postup nefunguje tak dobře při větším počtu studentů. I kromě toho problému, jak najít čas na osobní výslech každého studenta, musim navíc vymyslet pro každého úplně nové otázky; jinak předchozí student prozradí obsah zkoušky následujícím. Asi v Česku máme menší třídy?

[j7ake]

On paper? Oral exams are mush better in my opinion

[hackyhacky]

> On paper? Oral exams are mush better in my opinion

I agree: they're great, if you have that luxury. But they don't scale.

[petesergeant]

I was talking to a high-school English teacher recently about building oral exams using ChatGPT voice-mode. Current models would struggle to provide a uniform experience across students, but it feels like it's within near-term reach.

[hackyhacky]

I don't think even-more-AI is the solution to AI.

[danpalmer]

I think htere is a future for AI tools in learning, and I think they could be hugely valuable, the problem is that we aren't teaching anyone (or learning as a society) how to use these tools well, and using them well will require discipline.

In education today there's a lot of focus on knowledge and testing, and therefore it's fairly natural for AI to be used to just answer questions instead of as a learning aid. If we had a focus more on understanding, I'd hope that use of AI would be more exploratory, with more back and forth to help students learn in a way that works for them. After all, if LLMs are basically just text calculators, every student having a concept explained to them in exactly the language they need would be pretty amazing.

[dtagames]

It's a good one! I'm a lifelong fan of the leveling-up techniques you're talking about and I found they're essential when working with AI agents, especially.

I had the epiphany that all of the "AI's problems" were problems with my code or my understanding. This is my article[0] on that.

[0] https://levelup.gitconnected.com/mission-impossible-managing...