MathVC: An LLM-Simulated Multi-Character Virtual Classroom for Mathematics Education
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Abstract (arXiv)
Collaborative problem solving (CPS) is essential in mathematics education, fostering deeper learning through the exchange of ideas. Yet, classrooms often lack the resources, time, and peer dynamics needed to sustain productive CPS. Recent advancements in Large Language Models (LLMs) offer a promising avenue to enhance CPS in mathematical education. We designed and developed MathVC, a multi-persona LLM simulated virtual classroom platform to facilitate CPS in mathematics. MathVC combines a meta planning controller that monitors CPS stages-sense-making, team organization, planning, execution, validation, and predicts the next speaker, with a persona simulation stack that encodes mathematical thinking via a task schema and error-injected persona schemas seeded from teacher-specified misconceptions. We evaluated MathVC with 14 U.S. middle schoolers. Students reported constructive interaction and reaching shared solutions, describing gains in engagement, motivation, and confidence through diverse perspectives, immediate scaffolding, and human-like fallibility. Our findings also provide insights into simulating peers via LLM-based technologies for collaboration to support learning.
Key facts. Cited by 37 papers in the map (data through 14 Oct 2026). Builds on 19 of its 108 references that are in the map. First posted on arXiv 10 Apr 2024.
Builds on
19 of 108 references.
References · 19
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- 2016A User Simulator for Task-Completion Dialoguescited by 57
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- 2022The TalkMoves Dataset: K-12 Mathematics Lesson Transcripts Annotated for Teacher and Student Discursive Movescited by 38
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- 2023Reflective Linguistic Programming (RLP): A Stepping Stone in Socially-Aware AGI (SocialAGI)cited by 16
- 2024One Prompt To Rule Them All: LLMs for Opinion Summary Evaluationcited by 16
- 2023Can Language Models Employ the Socratic Method? Experiments with Code Debuggingcited by 15
- 2024Interrogating AI: Characterizing Emergent Playful Interactions with ChatGPTcited by 5
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Citing papers per year: 2024: 9; 2025: 17; 2026: 11.
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- 2025From LLM Reasoning to Autonomous AI Agents: A Comprehensive Review28 Apr 2025
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- 2024GFlowNet Fine-tuning for Diverse Correct Solutions in Mathematical Reasoning Tasks26 Oct 2024
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