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Brine Test Jug's avatar

I’ve been mentoring a few people. Two situations I frequently encounter, which AI mentors can solve:

1. A learner completes a task, then doesn’t know what to do next. The solution to this problem is already a feature of formal schooling, and it can be automated by AI. Too many self directed learners end up getting lost in a confusing domain because they just don’t know where to look to do the next thing. Randomly pinballing around is risky, and mentorship can save time and frustration which ends up making all the difference for many students.

2. A learner has a specific question that’s blocking their learning. “My code isn’t compiling and the error makes no sense”. Well, you could just google it and get the answer. Easy, right? That works in the immediate term. But a mentor interprets those questions and recognizes that the learner actually has a systemic misunderstanding. Then they can create a practice regiment to cure the disease and not the symptom. Google and textbooks really struggle on this one, but AI can solve it at scale!

A final thought. There’s a bell graph of learners. Far right are gifted self-starters and self-teachers, of which there are few. Center are most students, who frequently need mentorship. Far left are lost causes. AI mentorship will lift every type of student, but I suspect it will have the biggest influence on center type students. So huge possibilities for AI mentorship!

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Doctor Hammer's avatar

This is a thought provoking essay. I agree with some points (not nearly enough mentoring happening) and I think I disagree with others (AI might be good at it.) I need to think on it some more, however; I might change my mind before I get a response essay written.

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