Microsoft Introduces StudentSim: An AI Student Simulator for Optimizing AI Tutors

Microsoft Research has released StudentSim, a training framework that builds personalized AI student simulators to act as proxies for real learners. The system uses a two-stage training process to simulate how individual students answer questions and respond to tutoring guidance. Traditional human user studies for educational technology are slow, expensive, and difficult to scale. By providing reliable virtual proxies that simulate diverse learning behaviors, StudentSim can drastically accelerate the evaluation and iteration of AI tutoring systems. StudentSim evaluates models using behavioral fidelity and guidance responsiveness across domains like chess, English writing, and mathematics, accompanied by a new StudentSimEval benchmark. It outperforms general and specialized baselines such as GPT-5.4 and Maia2 in these tasks.