Does AI actually help students learn? A recent experiment in a high school provides a cautionary tale.
Researchers at the University of Pennsylvania found that Turkish high school students who had access to ChatGPT while doing practice math problems did worse on a math test compared with students who didn’t have access to ChatGPT. Those with ChatGPT solved 48 percent more of the practice problems correctly, but they ultimately scored 17 percent worse on a test of the topic that the students were learning.
A third group of students had access to a revised version of ChatGPT that functioned more like a tutor. This chatbot was programmed to provide hints without directly divulging the answer. The students who used it did spectacularly better on the practice problems, solving 127 percent more of them correctly compared with students who did their practice work without any high-tech aids. But on a test afterwards, these AI-tutored students did no better. Students who just did their practice problems the old fashioned way — on their own — matched their test scores.
Of all the students in the world, they pick ones from a “Turkish high school”. Any clear indication why there of all places when conducted by a US university?
I’m guessing there was a previous connection with some of the study authors.
I skimmed the paper, and I didn’t see it mention language. I’d be more interested to know if they were using ChatGPT in English or Turkish, and how that would affect performance, since I assume the model is trained on significantly more English language data than Turkish.
GPTs are designed with translation in mind, so I could see it being extremely useful in providing me instruction on a topic in a non-English native language.
But they haven’t been around long enough for the novelty factor to wear off.
It’s like computers in the 1980s… people played Oregon Trail on them, but they didn’t really help much with general education.
Fast forward to today, and computers are the core of many facets of education, allowing students to learn knowledge and skills that they’d otherwise have no access to.
GPTs will eventually go the same way.
The paper only says it’s a collaboration. It’s pretty large scale, so the opportunity might be rare. There’s a chance that (the same or other) researchers will follow up and experiment in more schools.
If I had access to ChatGPT during my college years and it helped me parse things I didn’t fully understand from the texts or provided much-needed context for what I was studying, I would’ve done much better having integrated my learning. That’s one of the areas where ChatGPT shines. I only got there on my way out. But math problems? Ugh.
When you automate these processes you lose the experience. I wouldn’t be surprised if you couldn’t parse information as well as you can now, if you had access to chat GPT.
It’s had to get better at solving your problems if something else does it for you.
Also the reliability of these systems is poor, and they’re specifically trained to produce output that appears correct. Not actually is correct.
I read that comment, and use it similarly, as more a super-dictionary/encyclopedia in the same way I’d watch supplementary YouTube videos to enhance my understanding. Rather than automating the understanding process.
More like having a tutor who you ask all the too-stupid and too-hard questions to, who never gets tired or fed up with you.
Exactly this! That is why I always have at least one instance of AI chatbot running when I am coding or better said analyse code for debugging.
It makes it possible to debug kernel stuff without much pre-knowledge, if you are proficient in prompting your questions. Well, it did work for me.
I quickly learned how ChatGPT works so I’m aware of its limitations. And since I’m talking about university students, I’m fairly sure those smart cookies can figure it out themselves. The thing is, studying the biological sciences requires you to understand other subjects you haven’t learned yet, and having someone explain how that fits into the overall picture puts you way ahead of the curve because you start integrating knowledge earlier. You only get that from retrospection once you’ve passed all your classes and have a panoramic view of the field, which, in my opinion, is too late for excellent grades. This is why I think having parents with degrees in a related field or personal tutors gives an incredibly unfair advantage to anyone in college. That’s what ChatGPT gives you for free. Your parents and the tutors will also make mistakes, but that doesn’t take away the value which is also true for the AIs.
And regarding the output that appears correct, some tools help mitigate that. I’ve used the Consensus plugin to some degree and think it’s fairly accurate for resolving some questions based on research. What’s more useful is that it’ll cite the paper directly so you can learn more instead of relying on ChatGPT alone. It’s a great tool I wish I had that would’ve saved me so much time to focus on other more important things instead of going down the list of fruitless search results with a million tabs open.
One thing I will agree with you is probably learning how to use Google Scholar and Google Books and
pirating booksusing the library to find the exact information as it appears in the textbooks to answer homework questions which I did meticulously down to the paragraph. But only I did that. Everybody else copied their homework, so at least in my university it was a personal choice how far you wanted to take those skills. So now instead of your peers giving you the answers, it’s ChatGPT. So my question is, are we really losing anything?Overall I think other skills need honing today, particularly verifying information, together with critical thinking which is always relevant. And the former is only hard because it’s tedious work, honestly.
The names of the authors suggest there could be a cultural link somewhere.
Ah thanks, that does appear to be the case.
The study was done in Turkey, probably because students are for sale and have no rights.
It doesn’t matter though. They could pick any weird, tiny sample and do another meaningless study. It would still get hyped and they would still get funding.