I've always wondered if it would work out well for an LLM to evaluate a constraint program/script when it encountered a problem involving constraints / logic. like or-tools with python or evaluating a minizinc program.
I also don't prefer using strings, but to be fair, HTTP methods are just strings when the request is received. There is some beauty in that in matches the prefix of the first line of an HTTP packet
This is cool! I've had similar ideas, but when it comes to creating the curriculum it was always the time consuming part. If the graph was in something like a wiki, where people could contribute, add linkages, add new lessons, etc., and a system to automatically prune the graph to each student, there could be a globally sourced and maintained "school" for all human knowledge.
I find the lack of learning science and the state of teaching how to learning to be detrimental to our current society where people are required to know more and more. Knowledge that doctors, lawyers, even computer engineers keep increasing as time goes on, but the way we learn has never been scrutinized or emphasized and is mostly up to each person to deal with.
I mostly agree, learning efficiency is not directly tied to the method, but how the brain processes it over time and may even require multiple methods to sufficiently learn something. I wouldn't be surprised if emotions or feeling frustrated while trying to learn hampers it as well.