Published in Tom Daccord’s Free Newsletter

Introduction:

When it comes to AI in math instruction, I'm struck by a glaring paradox. On one hand, AI makes groundbreaking strides in mathematical research and complex computations. On the other, researchers, educators, and others deride AI as being "bad" at math. Consequently, reports of its mathematical abilities often seem strikingly contradictory. This dichotomy raises an important question: What exactly is AI capable of in mathematics, and how can we leverage its strengths while mitigating its weaknesses?

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