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.
I don’t even know of this is ChatGPT’s fault. This would be the same outcome if someone just gave them the answers to a study packet. Yes, they’ll have the answers because someone (or something) gave it to them, but won’t know how to get that answer without teaching them. Surprise: For kids to learn, they need to be taught. Shocker.
I’ve found chatGPT to be a great learning aid. You just don’t use it to jump straight to the answers, you use it to explore the gaps and edges of what you know or understand. Add context and details, not final answers.
The study shows that once you remove the LLM though, the benefit disappears. If you rely on an LLM to help break things down or add context and details, you don’t learn those skills on your own.
I used it to learn some coding, but without using it again, I couldn’t replicate my own code. It’s a struggle, but I don’t think using it as a teaching aid is a good idea yet, maybe ever.
I wouldn’t say this matches my experience. I’ve used LLMs to improve my understanding of a topic I’m already skilled in, and I’m just looking to understand something nuanced. Being able to interrogate on a very specific question that I can appreciate the answer to is really useful and definitely sticks with me beyond the chat.
Kids who take shortcuts and don’t learn suck at recalling knowledge they never had…
The only reason we’re trying to somehow compromise and allow or even incorporate cheating software into student education is because the tech-bros and singularity cultists have been hyping this technology like it’s the new, unstoppable force of nature that is going to wash over all things and bring about the new Golden Age of humanity as none of us have to work ever again.
Meanwhile, 80% of AI startups sink and something like 75% of the “new techs” like AI drive-thru orders and AI phone support go to call centers in India and Philippines. The only thing we seem to have gotten is the absolute rotting destruction of all content on the internet and children growing up thinking it’s normal to consume this watered-down, plagiarized, worthless content.
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I took German in high school and cheated by inventing my own runic script. I would draw elaborate fantasy/sci-fi drawings on the covers of my notebooks with the German verb declensions and whatnot written all over monoliths or knight’s armor or dueling spaceships, using my own script instead of regular characters, and then have these notebook sitting on my desk while taking the tests. I got 100% on every test and now the only German I can speak is the bullshit I remember Nightcrawler from the X-Men saying. Unglaublich!
I just wrote really small on a paper in my glasses case, or hidden data in the depths of my TI86.
We love Nightcrawler in this house.
Actually if you read the article ChatGPT is horrible at math a modified version where chatGPT was fed the correct answers with the problem didn’t make the kids stupider but it didn’t make them any better either because they mostly just asked it for the answers.
At work we give a 16/17 year old, work experience over the summer. He was using chatgpt and not understanding the code that was outputing.
I his last week he asked why he doing print statement something like
print (f"message {thing} ")Im afraid to ask, but whats wrong with that line? In the right context thats fine to do no?
There is nothing wrong with it. He just didn’t know what it meant after using it for a little over a month.
Yea, this highlights a fundamental tension I think: sometimes, perhaps oftentimes, the point of doing something is the doing itself, not the result.
Tech is hyper focused on removing the “doing” and reproducing the result. Now that it’s trying to put itself into the “thinking” part of human work, this tension is making itself unavoidable.
I think we can all take it as a given that we don’t want to hand total control to machines, simply because of accountability issues. Which means we want a human “in the loop” to ensure things stay sensible. But the ability of that human to keep things sensible requires skills, experience and insight. And all of the focus our education system now has on grades and certificates has lead us astray into thinking that the practice and experience doesn’t mean that much. In a way the labour market and employers are relevant here in their insistence on experience (to the point of absurdity sometimes).
Bottom line is that we humans are doing machines, and we learn through practice and experience, in ways I suspect much closer to building intuitions. Being stuck on a problem, being confused and getting things wrong are all part of this experience. Making it easier to get the right answer is not making education better. LLMs likely have no good role to play in education and I wouldn’t be surprised if banning them outright in what may become a harshly fought battle isn’t too far away.
All that being said, I also think LLMs raise questions about what it is we’re doing with our education and tests and whether the simple response to their existence is to conclude that anything an LLM can easily do well isn’t worth assessing. Of course, as I’ve said above, that’s likely manifestly rubbish … building up an intelligent and capable human likely requires getting them to do things an LLM could easily do. But the question still stands I think about whether we need to also find a way to focus more on the less mechanical parts of human intelligence and education.
LLMs likely have no good role to play in education and I wouldn’t be surprised if banning them outright in what may become a harshly fought battle isn’t too far away.
While I agree that LLMs have no place in education, you’re not going to be able to do more than just ban them in class unfortunately. Students will be able to use them at home, and the alleged “LLM detection” applications are no better than throwing a dart at the wall. You may catch a couple students, but you’re going to falsely accuse many more. The only surefire way to catch them is them being stupid and not bothering to edit what they turn in.
Yea I know, which is why I said it may become a harsh battle. Not being in education, it really seems like a difficult situation. My broader point about the harsh battle was that if it becomes well known that LLMs are bad for a child’s development, then there’ll be a good amount of anxiety from parents etc.
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If you actually read the article you will see that they tested both allowing the students to ask for answers from the LLM, and then limiting the students to just ask for guidance from the LLM. In the first case the students did significantly worse than their peers that didn’t use the LLM. In the second one they performed the same as students who didn’t use it. So, if the results of this study can be replicated, this shows that LLMs are at best useless for learning and most likely harmful. Most students are not going to limit their use of LLMs for guidance.
You AI shills are just ridiculous, you defend this technology without even bothering to read the points under discussion. Or maybe you read an LLM generated summary? Hahahaha. In any case, do better man.
Obviously no one’s going to learn anything if all they do is blatantly asking for an answer and writings.
You should try reading the article instead of just the headline.
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TLDR: ChatGPT is terrible at math and most students just ask it the answer. Giving students the ability to ask something that doesn’t know math the answer makes them less capable. An enhanced chatBOT which was pre-fed with questions and correct answers didn’t screw up the learning process in the same fashion but also didn’t help them perform any better on the test because again they just asked it to spoon feed them the answer.
references
ChatGPT’s errors also may have been a contributing factor. The chatbot only answered the math problems correctly half of the time. Its arithmetic computations were wrong 8 percent of the time, but the bigger problem was that its step-by-step approach for how to solve a problem was wrong 42 percent of the time.
The tutoring version of ChatGPT was directly fed the correct solutions and these errors were minimized.
The researchers believe the problem is that students are using the chatbot as a “crutch.” When they analyzed the questions that students typed into ChatGPT, students often simply asked for the answer.
This isn’t a new issue. Wolfram alpha has been around for 15 years and can easily handle high school level math problems.
Except wolfram alpha is able to correctly explain step by step solutions. Which was an aid in my education.
Only old farts still use Wolfram
What do young idiots use?
ChatGPT apparently lol
I can’t remember, but my dad said before he retired he would just pirate Wolfram because he was too old to bother learning whatever they were using. He spent 25 years in academia teaching graduate chem-e before moving to the private sector. He very briefly worked with one of the Wolfram founders at UIUC.
Edit: I’m thinking of Mathematica, he didn’t want to mess with learning python.
Where did you think you were?
Taking too many shortcuts doesn’t help anyone learn anything.
Maybe, if the system taught more of HOW to think and not WHAT. Basically more critical thinking/deduction.
This same kinda topic came up back when I was in middle/highschool when search engines became wide spread.
However, LLM’s shouldn’t be trusted for factual anything, same as Joe blows blog on some random subject. Did they forget to teach cross referencing too? I’m sounding too bitter and old so I’ll stop.
However, LLM’s shouldn’t be trusted for factual anything, same as Joe blows blog on some random subject.
Podcasts are 100% reliable tho
See also: competitive cognitive artifacts. https://philosophicaldisquisitions.blogspot.com/2016/09/competitive-cognitive-artifacts-and.html
These are artifacts that amplify and improve our abilities to perform cognitive tasks when we have use of the artifact but when we take away the artifact we are no better (and possibly worse) at performing the cognitive task than we were before.
ChatGPT lies which is kind of an issue in education.
As far as seeing the answer, I learned a significant amount of math by looking at the answer for a type of question and working backwards. That’s not the issue as long as you’re honestly trying to understand the process.
There’s a bunch of websites that give you the answers to most homework. You can just Google the question and find the answers pretty quickly. I assume the people using chatgtp to “study” are just cheating on homework anyway.
Shocked, I tell you!
While I get that, AI could be handy for some subjects, where you wont put your future on. However using it extinsively for everything is quite an exaggeration.
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