INSIDE the Student's Mind: Jointly Modeling Latent Reasoning and Action in LLM Student Simulators
arXiv:2608.10492v1 Announce Type: cross 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 th
Record details
Published: 12 August 2026
Source: arXiv cs.CY
Category: Research
Topics: Children & education
Retrieved: 12 August 2026
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ethics.ai (12 August 2026), “INSIDE the Student's Mind: Jointly Modeling Latent Reasoning and Action in LLM Student Simulators,” evidence record 18365, https://ethics.ai/record/18365 (originally published by arXiv cs.CY).
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