Well, a Learn Everything System (LES) run by an AI tutor that adapts the content to fully engage you in a game-based educational experience run as a rich simulation of all human knowledge seems to me to be the ideal form of learning—for probably almost everyone.
I have another architecture in mind, actually (but I think specific choice is only a means towards the end).
The tutor must be able to infer how the student arrives at their conclusion for a few demo problems, that being “student’s problem-solving structure[1]”. Structure is then corrected towards valid for the problem (it might be helpful to demonstrate examples when structures yield different answers or take different time to complete). Though, that may run into an issue, making people less skeptic:
I recall reading, though I can’t remember where, that physicists in some country were more likely to become extreme religious fanatics. This confused me, until the author suggested that physics students are presented with a received truth that is actually correct, from which they learn the habit of trusting authority.
It may be dangerous to present people with a giant mass of authoritative knowledge, especially if it is actually true. It may damage their skepticism.
I say “structure” instead of “algorithm” because it often fails to solve the given problem, is very much non-deterministic, and also its intermediate nodes (lemmas, conjectures, estimations what path is closer to a cleanly-looking solution) are useful
I have another architecture in mind, actually (but I think specific choice is only a means towards the end).
The tutor must be able to infer how the student arrives at their conclusion for a few demo problems, that being “student’s problem-solving structure[1]”. Structure is then corrected towards valid for the problem (it might be helpful to demonstrate examples when structures yield different answers or take different time to complete). Though, that may run into an issue, making people less skeptic:
I say “structure” instead of “algorithm” because it often fails to solve the given problem, is very much non-deterministic, and also its intermediate nodes (lemmas, conjectures, estimations what path is closer to a cleanly-looking solution) are useful