Depends on the subject. For example in maths (assuming that one has a good background) you can verify the proofs yourself (and this isn't a given for highschool students).

I have also found another use for this. For example in studying modulation techniques in communication systems, I went back and forth between Monte-Carlo simulations and theoretical approximations to see how accurate each one is. And then added some more realistic error scenarios to do an end-to-end validation. In this case the LLM was used as a shortcut to write repetitive code that was verified manually, and this was complementary to the text-book, and made reading the topic more engaging, enjoyable, and comprehensive.