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.
Would kids do better if the AI doesn’t hallucinate?
Would snails be happier if it kept raining? What can we do to make it rain forever and all time?
Paradoxically, they would probably do better if the AI hallucinated more. When you realize your tutor is capable of making mistakes, you can’t just blindly follow their process; you have to analyze and verify their work, which forces a more complete understanding of the concept, and some insight into what errors can occur and how they might affect outcomes.