Probably not at this stage, but it seems at least conceivable that the technology may move in that direction. In general I think LLMs are very overhyped, but this is an area I do concede they could be very useful with some tweaking. Right now I think there's too much "and the kitchen sink" in the models, but a more selectively trained model might be very useful for this.

Truth of the matter is that many teachers know the curriculum, but if you ask them a basic question, they won't answer the question with nearly the same depth for example Feynman[1] would have. Now educators with both the ability and depth of knowledge of Feynman is clearly a very limited resource. LLMs may just change that since they can be given the depth with relative ease, the rest of the owl is making them good educators as well.

[1] https://www.youtube.com/watch?v=36GT2zI8lVA

Not a very exhaustive test, but it gives pretty good answers when I put in the things my teen was asking while doing their algebra homework. Of course it would only help if they asked questions in order to understand, rather than having it just do the homework: but the same is true for a human tutor.

You can also tell it to restrict how it answers so it asks you questions rather than giving you the result.

https://blog.khanacademy.org/harnessing-ai-so-that-all-stude...