this post was submitted on 27 May 2025
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I recently read that LLMs are effective for improving learning outcomes. When I read one of the meta studies, however, it seemed that many of the benefits were indirect: LLMs improved accessibility by allowing teachers to quickly tailor lessons to individual students, for example. It also seems that some students ask questions more freely and without embarrassment when chatting with an LLM, which can improve learning for those students - and this aligns with what you mention in your post. I personally have withheld follow-up questions in lectures because I didn't want to look foolish or reveal my imperfect understanding of the topic, so I can see how an LLM could help me that way.
What the studies did not (yet) examine was whether the speed and ease of learning with LLMs were somehow detrimental to, say, retention. Sure, I can save time studying for an exam/technical interview with an LLM, but will I remember what I learned in 6 months? For some learning tasks, the long struggle is essential to a good understanding and retention (for example, writing your own code implementation of an algorithm vs. reading someone else's). Will my reliance on AI somehow damage my ability to learn in some circumstances? I think that LLMs might be like powered exoskeletons for the mind - the operator slowly wastes away from lack of exercise.
It seems like a paradox, but learning "more, faster" might be worse in the long run.