用大模型辅助教师设计实时社交演练，提升沟通训练效果。
An LLM-Guided Tutoring System for Social Skills Training
- 教师与大模型协作生成真实社交情境
- 支持学生实时练习并即时反馈表现
- 自动生成新剧情分支，适合教育场景应用
社交技能训练旨在培养人际互动中的有效行为。然而，传统课堂讲授式教学难以有效传授实际沟通能力，一对一的真实场景互动更优。本文提出一种框架，使教师可与大型语言模型协同动态设计真实社交情景，供学生进行模拟练习，系统提供即时反馈并可视化表现，便于师生共同评估。相比传统智能辅导系统，教师无需技术背景即可与大模型共创情境；当现有选项不匹配学生回应时，系统还能实时生成新剧情分支，增强适应性与交互性。
原文摘要 · Abstract (English)
Social skills training targets behaviors necessary for success in social interactions. However, traditional classroom training for such skills is often insufficient to teach effective communication -- one-to-one interaction in real-world scenarios is preferred to lecture-style information delivery. This paper introduces a framework that allows instructors to collaborate with large language models to dynamically design realistic scenarios for students to communicate. Our framework uses these scenarios to enable student rehearsal, provide immediate feedback, and visualize performance for both students and instructors. Unlike traditional intelligent tutoring systems, instructors can easily co-create scenarios with a large language model without technical skills. Additionally, the system generates new scenario branches in real time when existing options do not fit the student's response.
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