用大模型和社交机器人让老师轻松设计故事化教学活动。
RoboBuddy in the Classroom: Exploring LLM-Powered Social Robots for Storytelling in Learning and Integration Activities
- 通过大模型自动生成基于课程的故事化教学场景。
- 学生在故事化活动中参与度显著提升，且融合政策感知更积极。
- 适合教育工作者探索智能技术辅助教学的新模式。
创设情境化教学内容是教育中富有成效的方法，但其规划耗时较长，尤其在使用社交机器人等复杂技术时更为突出。同时，文化融合常需嵌入现有课程，而课时紧张限制了实施。为此，我们开发了一种直观界面，使教师能利用大语言模型（LLMs）与社交机器人，从常规课程中快速生成情境活动。我们与4位教师共同设计了多种活动框架，并在27名学生中开展为期一周的实地研究。结果不仅验证了系统的有效性，还发现学生在故事化教学中表现出更高的参与热情，且对文化融合政策的感知更为积极。研究进一步探讨了大模型与社交机器人在长期课堂应用中的潜在影响。
原文摘要 · Abstract (English)
Creating and improvising scenarios for content approaching is an enriching technique in education. However, it comes with a significant increase in the time spent on its planning, which intensifies when using complex technologies, such as social robots. Furthermore, addressing multicultural integration is commonly embedded in regular activities due to the already tight curriculum. Addressing these issues with a single solution, we implemented an intuitive interface that allows teachers to create scenario-based activities from their regular curriculum using LLMs and social robots. We co-designed different frameworks of activities with 4 teachers and deployed it in a study with 27 students for 1 week. Beyond validating the system's efficacy, our findings highlight the positive impact of integration policies perceived by the children and demonstrate the importance of scenario-based activities in students' enjoyment, observed to be significantly higher when applying storytelling. Additionally, several implications of using LLMs and social robots in long-term classroom activities are discussed.
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