MisEdu-RAG: A Misconception-Aware Dual-Hypergraph RAG for Novice Math Teachers

arXiv:2604.04036 · cs.IR, cs.CL · Submitted 2026-04-05 · Read on arXiv

cs.IR, cs.CL

Submitted: 2026-04-05

Updated: 2026-09-10

Code: https://github.com/GEMLab-HKU/MisEdu-RAG

License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/

Terminology

• RAG — 82× in this paper · explained in 3 episodes
• Hypergraph — 60× in this paper · explained in 2 episodes
• Ablation — 6× in this paper · explained in 1 episode
• Alignment — 6× in this paper · explained in 1 episode
• Retrieval-Augmented Generation — 6× in this paper
• Hallucination — 5× in this paper · explained in 3 episodes
• Ablation study — 4× in this paper · explained in 1 episode
• Cosine Similarity — 4× in this paper · explained in 3 episodes
• F1 Score — 4× in this paper · explained in 3 episodes
• Aggregation — 3× in this paper · explained in 1 episode
• Benchmark — 3× in this paper · explained in 2 episodes
• Accuracy — 2× in this paper · explained in 1 episode
• Core — 2× in this paper · explained in 2 episodes
• Grounding — 2× in this paper · explained in 3 episodes
• Large Language Model (LLM) — 2× in this paper · explained in 3 episodes
• AI Literacy — 1× in this paper · explained in 1 episode
• Cognitive Load — 1× in this paper · explained in 2 episodes
• Contrastive Learning — 1× in this paper · explained in 5 episodes
• Foundation Model — 1× in this paper · explained in 3 episodes
• Generalizability — 1× in this paper · explained in 6 episodes
• Large Language Models (LLMs) — 1× in this paper · explained in 6 episodes
• Model-Agnostic — 1× in this paper · explained in 2 episodes
• Retrieval-Augmented Generation (RAG) — 1× in this paper · explained in 16 episodes
• Tokenization — 1× in this paper · explained in 2 episodes

Sources

• From Local to Global: A Graph RAG Approach to Query-Focused Summarization
• Hyper-RAG: Combating LLM Hallucinations using Hypergraph-Driven Retrieval-Augmented Generation
• GPT-4o System Card
• Large Language Models for Education: A Survey and Outlook
• A Comprehensive Study of Knowledge Editing for Large Language Models
• RAFT: Adapting Language Model to Domain Specific RAG

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