A LLM-Driven Multi-Agent Systems for Professional Development of Mathematics Teachers

Fuente: arXiv
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Autores principales: Yang, Kaiqi, Li, Hang, Chu, Yucheng, Han, Ahreum, Copur-Gencturk, Yasemin, Tang, Jiliang, Liu, Hui
Formato: Preprint
Publicado: 2025
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author Yang, Kaiqi
Li, Hang
Chu, Yucheng
Han, Ahreum
Copur-Gencturk, Yasemin
Tang, Jiliang
Liu, Hui
author_facet Yang, Kaiqi
Li, Hang
Chu, Yucheng
Han, Ahreum
Copur-Gencturk, Yasemin
Tang, Jiliang
Liu, Hui
contents Professional development (PD) serves as the cornerstone for teacher tutors to grasp content knowledge. However, providing equitable and timely PD opportunities for teachers poses significant challenges. To address this issue, we introduce I-VIP (Intelligent Virtual Interactive Program), an intelligent tutoring platform for teacher professional development, driven by large language models (LLMs) and supported by multi-agent frameworks. This platform offers a user-friendly conversational interface and allows users to employ a variety of interactive tools to facilitate question answering, knowledge comprehension, and reflective summarization while engaging in dialogue. To underpin the functionality of this platform, including knowledge expectation analysis, response scoring and classification, and feedback generation, the multi-agent frameworks are leveraged to enhance the accuracy of judgments and mitigate the issue of missing key points.
format Preprint
id arxiv_https___arxiv_org_abs_2507_05292
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle A LLM-Driven Multi-Agent Systems for Professional Development of Mathematics Teachers
Yang, Kaiqi
Li, Hang
Chu, Yucheng
Han, Ahreum
Copur-Gencturk, Yasemin
Tang, Jiliang
Liu, Hui
Computers and Society
Human-Computer Interaction
Multiagent Systems
Professional development (PD) serves as the cornerstone for teacher tutors to grasp content knowledge. However, providing equitable and timely PD opportunities for teachers poses significant challenges. To address this issue, we introduce I-VIP (Intelligent Virtual Interactive Program), an intelligent tutoring platform for teacher professional development, driven by large language models (LLMs) and supported by multi-agent frameworks. This platform offers a user-friendly conversational interface and allows users to employ a variety of interactive tools to facilitate question answering, knowledge comprehension, and reflective summarization while engaging in dialogue. To underpin the functionality of this platform, including knowledge expectation analysis, response scoring and classification, and feedback generation, the multi-agent frameworks are leveraged to enhance the accuracy of judgments and mitigate the issue of missing key points.
title A LLM-Driven Multi-Agent Systems for Professional Development of Mathematics Teachers
topic Computers and Society
Human-Computer Interaction
Multiagent Systems
url https://arxiv.org/abs/2507.05292