INSIDE the Student's Mind: Jointly Modeling Latent Reasoning and Action in LLM Student Simulators
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 that fine-tunes LLMs not only to act like students but also to think like them. INSIDE generates internal dialogue grounded in Bloom's Taxonomy across cognitive, affective, and action dimensions, and fine-tunes models on paired think traces and acti...
| Authors | Rose Niousha, Minwoo Kang, Narges Norouzi |
|---|---|
| Primary category | cs.AI |
| Published | 11 August 2026 |
| Last updated at source | 14 August 2026 |
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