Microsoft Research develops StudentSim to evaluate and improve AI tutors using personalized student simulators

Microsoft Research introduced StudentSim, a research system that trains personalized AI student simulators from publicly available, de-identified learner records to evaluate and improve AI tutors before real-learner testing. The system models how individual students answer questions and how their responses change after receiving tutor guidance, evaluating simulators on whether they respond like a specific student and whether they update after tutor guidance across chess, second-language English writing, and mathematics. This work also introduces StudentSimEval, a benchmark and evaluation protocol.