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:

Grateful to Microsoft Research for featuring StudentSim! Since its release, we've been amazed by the attention it has received, not only from the education community, where professors have called it "the very first foundational work in this area" and shared that they'd envisioned this direction long before data and training made it possible, but also from researchers and project leads working on user simulation in recommender systems, healthcare, and financial services. It's exciting to see a shared recognition of the importance and potential of user simulation for personalized AI services. Hope StudentSim can be a useful stepping stone for the community!

Training against the GPT-5.4 student made the chess tutor less accurate: 71.6% versus 75.7% with no RL.