Simulated students that make realistic mistakes help AI tutors learn faster
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Microsoft and the University of Illinois built StudentSim, a system that creates digital replicas of individual students from very limited data, including their typical mistakes, so AI tutors can be tested and improved without costly trials on real learners. In tests covering 60 students across chess, English, and math, StudentSim outperformed GPT-5.4, and a chess tutor trained with it received the highest expert ratings among three versions tested.
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