title: Simulating Classroom Education with LLM-Empowered Agents
summary: Large language models (LLMs) have been employed in various intelligent
  educational tasks to assist teaching. While preliminary explorations have
  focused on independent LLM-empowered agents for specific educational tasks, the
  potential for LLMs within a multi-agent collaborative framework to simulate a
  classroom with real user participation remains unexplored. In this work, we
  propose SimClass, a multi-agent classroom simulation framework involving user
  participation. We recognize representative class roles and introduce a novel
  class control mechanism for automatic classroom teaching, and conduct user
  experiments in two real-world courses. Utilizing the Flanders Interactive
  Analysis System and Community of Inquiry theoretical frame works from
  educational analysis, we demonstrate that LLMs can simulate traditional
  classroom interaction patterns effectively while enhancing user's experience.
  We also observe emergent group behaviors among agents in SimClass, where agents
  collaborate to create enlivening interactions in classrooms to improve user
  learning process. We hope this work pioneers the application of LLM-empowered
  multi-agent systems in virtual classroom teaching.
paper_authors._id: 667e2af648fdddb8dee340ff
paper_authors.name: Zheyuan Zhang
paper_authors.status: claimed_verified
paper_authors.statusLastChangedAt: 2024-06-28T09:12:54.968Z
paper_authors._id: 648c4af819bb04c06467189c
paper_authors.avatarUrl: /avatars/8b9372a233d4c00b555625fa7b5203e2.svg
paper_authors.fullname: Zheyuan Zhang
paper_authors.type: user
paper_authors.user: Zheyuan22
paper_authors._id: 667e2af648fdddb8dee34100
paper_authors.name: Daniel Zhang-Li
paper_authors._id: 667e2af648fdddb8dee34101
paper_authors.name: Jifan Yu
paper_authors.status: admin_assigned
paper_authors.statusLastChangedAt: 2024-06-28T12:17:42.774Z
paper_authors._id: 632d6e8d2f9c892dcf0ed4bb
paper_authors.avatarUrl: /avatars/fba1fb87bcac340a8eee3b9f4fc35bc5.svg
paper_authors.fullname: Jifan Yu
paper_authors.type: user
paper_authors.user: JovanYu
paper_authors._id: 667e2af648fdddb8dee34102
paper_authors.name: Linlu Gong
paper_authors._id: 667e2af648fdddb8dee34103
paper_authors.name: Jinchang Zhou
paper_authors._id: 667e2af648fdddb8dee34104
paper_authors.name: Zhiyuan Liu
paper_authors.status: admin_assigned
paper_authors.statusLastChangedAt: 2024-06-28T12:17:24.883Z
paper_authors._id: 6472f1f7485a7c8e1bcf507b
paper_authors.avatarUrl: /avatars/79dca137583875191ea883b193b630b7.svg
paper_authors.fullname: Zhiyuan Liu
paper_authors.type: user
paper_authors.user: zibuyu9
paper_authors._id: 667e2af648fdddb8dee34105
paper_authors.name: Lei Hou
paper_authors._id: 667e2af648fdddb8dee34106
paper_authors.name: Juanzi Li
paper_authors.status: admin_assigned
paper_authors.statusLastChangedAt: 2024-06-28T10:07:14.950Z
paper_authors._id: 65df8cbc2705d9672f55d1aa
paper_authors.avatarUrl: /avatars/63e46f15bb76bd9d4508fd0f54f39829.svg
paper_authors.fullname: Juanzi Li
paper_authors.type: user
paper_authors.user: juanli
paper_title: Simulating Classroom Education with LLM-Empowered Agents
paper_summary: Large language models (LLMs) have been employed in various intelligent
  educational tasks to assist teaching. While preliminary explorations have
  focused on independent LLM-empowered agents for specific educational tasks, the
  potential for LLMs within a multi-agent collaborative framework to simulate a
  classroom with real user participation remains unexplored. In this work, we
  propose SimClass, a multi-agent classroom simulation framework involving user
  participation. We recognize representative class roles and introduce a novel
  class control mechanism for automatic classroom teaching, and conduct user
  experiments in two real-world courses. Utilizing the Flanders Interactive
  Analysis System and Community of Inquiry theoretical frame works from
  educational analysis, we demonstrate that LLMs can simulate traditional
  classroom interaction patterns effectively while enhancing user's experience.
  We also observe emergent group behaviors among agents in SimClass, where agents
  collaborate to create enlivening interactions in classrooms to improve user
  learning process. We hope this work pioneers the application of LLM-empowered
  multi-agent systems in virtual classroom teaching.
paper_ai_summary: SimClass, a multi-agent framework with LLM-empowered agents, effectively simulates classroom interactions, enhancing user experience and learning processes through collaboration.
paper_ai_keywords: large language models LLMs multi-agent collaborative framework classroom simulation user participation class roles class control mechanism Flanders Interactive Analysis System Community of Inquiry virtual classroom teaching emergent group behaviors