I work in higher ed and have been involved in "how do we use this to help people learn" efforts since gpt 3.5 days. The method most reliable and with the best r

I work in higher ed and have been involved in "how do we use this to help people learn" efforts since gpt 3.5 days. The method most reliable and with the best results has been treating LLMs like a glorified interface to classic expert systems. Boring state machine, problem sets and sometimes procedural generation of problems, instructor selected groupings and "hint" policy. Other applications have been building simulations, usually for chem, physics, bio, and giving an in browser agent access to the same interface as the student. Idea being this allows a flow of making predictions and observing results, demonstrating or clarifying a specific point. Counter intuitively it's made creating course material far more laborious, since we have to lay out everything much more thoroughly, plus subject matter experts have to translate it to programmers and back, versus an instructor attempting to teach inherently from their already-expert point of view.