Simulating student learning for better AI tutoring

Microsoft Research Ke Yang, Chenglong Wang, Michel Galley, Jeevana Priya Inala, ChengXiang Zhai, Jianfeng Gao

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StudentSim is a research system for evaluating and improving AI tutoring tools before they are tested with learners. It models how individuals may engage with tutors, giving feedback to improve tutor performance across subjects like chess, writing, and mathematics. The post Simulating student learning for better AI tutoring appeared first on Microsoft Research.

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