INSIDE the Student's Mind: Jointly Modeling Latent Reasoning and Action in LLM Student Simulators

Excerpt

arXiv:2608.10492v2 Announce Type: replace Abstract: Large Language Model (LLM)-based simulators often reproduce observable actions but fail to capture the underlying reasoning behind them. In education, where student simulation is increasingly used for various applications such as evaluating tutoring systems, this gap is especially pronounced. Two students may submit identical submissions for entirely different reasons. We present INTERNAL STUDENT DIALOGUE (INSIDE), a student modeling framework