[TonyAlicea10]

Source materials is great. Having the LLM write one part of a tutorial prevents you from asking it for a progressive curriculum which helps. If I give an LLM a sequence I want to learn, or an outline, it does much better.

Context and scope limitations are also helpful, as you mention. And yes, having experience in a domain makes learning with an LLM a dramatically different experience than from-scratch, since the LLM is nudged in different directions by our responses. When a novice uses an LLM to learn, the questions they ask the LLM can drive it in directions and hallucinations that would look obvious to an experienced person.

The worst failure mode is what I mentioned: the novice asking the wrong questions or driving the LLM in the wrong direction. Inference is strongly influenced by input tokens, and that's fairly unavoidable.

I don't mean to say your project doesn't have value though! I hope people use LLMs to help them learn (by directing them to good source materials from humans) rather than just asking it to do things for them and blindly trusting the results.