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Generative AI works by selecting the most likely next words.

But students misunderstand in many different ways. How would it be tailored instead of another way of delivering lesson plans?

Even assuming you already had the topology of the problem space, you'd have to interrogate the student with all possible ways for each question to determine what's missing for them.

But part of the problem is impedance matching: failing students get little positive feedback because they have to correct many mistakes before they start getting things right. Interrogation makes the impedance-matching problem much, much worse (no matter how sweet and enticing the voice).

Sure, I believe in success patterns and strong leaders. But I'd need to see a sketch of how Khan understands and addresses the problems before I'd invest or rely on this as anything other than a stop-gap that continues the under-funding of mass education.




As someone coming from a Tech background and has become deeply involved in education recently, I cannot agree more. There is just so much difference in terms of understanding education among people who have worked with children and people who have not.

For majority of the time the active 'response' from the student is 'no response'. Teachers are amazing at understanding silence and building conversation on silence.

Knowing the social background of the a student, and hence knowing realities of their hardships is the begining point of starting to enable a student who is laggning behind.

AI-tutors are(potentially) great, much like how videos are way better than reading books from a childs perspective, but it is far from innovation in education that few influencers are trying it to be.


How would an excellent human teacher work with such a failing student? Can that technique be something that the AI could model?




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