教师视角下基于AI的多智能体仿真设计以应对校园欺凌
Teachers' perspective on AI-based Multi-Agent Simulation Design to Combat School Bullying
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中文总结 AI 辅助
本研究与K-12教师共同设计基于大语言模型的多智能体反欺凌仿真系统，模拟真实场景以培养学生反欺凌技能，并确定关键设计参数，为开发有效可扩展的反欺凌工具提供见解。
中文摘要 AI 辅助
校园欺凌深刻影响青少年的身心健康。尽管现有的面对面和数字干预措施提供了一些益处，但它们往往在应对欺凌的复杂社会动态方面有所不足。在本研究中，我们与K-12教师合作，共同设计了一个由大语言模型（LLMs）驱动的多智能体反欺凌系统。该系统模拟真实场景，使学生能够发展反欺凌技能。研究确定了LLM驱动的多智能体仿真系统的关键设计参数，为创建更有效且可扩展的反欺凌工具提供了宝贵见解，这些工具可能显著减少校园欺凌。
英文摘要
Bullying in schools profoundly affects the mental and physical health of teenagers. Although existing in-person and digital interventions provide some benefits, they often fall short in addressing the complex social dynamics of bullying. In this study, we collaborated with K-12 teachers to co-design a multi-agent anti-bullying system powered by large language models (LLMs). This system simulates authentic scenarios, enabling students to develop anti-bully skills. The research identifies key design parameters for an LLM-driven multi-agent simulation system, offering valuable insights for creating more effective and scalable anti-bullying tools that could significantly reduce bullying in schools} \keywords{anti-bullying interventions, multi-agent system, generative AI, co-design, bystander presence
发表机构
- Pennsylvania State University（宾夕法尼亚州立大学）
机构由 AI 辅助整理，请以论文原文为准。
