Microsoft Research introduced StudentSim, a research system that trains personalized AI student simulators from publicly available, de-identified learner records to provide feedback during AI tutor development. It also introduces StudentSimEval, a benchmark evaluating behavioral fidelity and guidance responsiveness across chess, second-language English writing, and mathematics. StudentSim outperformed leading baselines on both dimensions in chess, and a proof-of-concept reinforcement learning st
It offers a concrete, openly available research method for generating scalable simulated student feedback, addressing a key bottleneck in building and evaluating AI tutoring systems.
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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