A LLM-Driven Multi-Agent Systems for Professional Development of Mathematics Teachers
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arXiv
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| Autores principales: | , , , , , , |
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| Formato: | Preprint |
| Publicado: |
2025
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| _version_ | 1866908439938072576 |
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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 |