AI RESEARCH
MisEdu-RAG: A Misconception-Aware Dual-Hypergraph RAG for Novice Math Teachers
arXiv CS.CL
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ArXi:2604.04036v1 Announce Type: cross Novice math teachers often encounter students' mistakes that are difficult to diagnose and remediate. Misconceptions are especially challenging because teachers must explain what went wrong and how to solve them. Although many existing large language model (LLM) platforms can assist in generating instructional feedback, these LLMs loosely connect pedagogical knowledge and student mistakes, which might make the guidance less actionable for teachers.