用AI动态生成问答库，帮教师更好个性化辅导学生。
INSIGHT: Bridging the Student-Teacher Gap in Times of Large Language Models
- 通过提取学生提问关键词，实时构建动态FAQ。
- 将学生问题转化为教学洞察，支持教师精准答疑。
- 模块化设计适合多课程应用，助力教育智能化。
人工智能，尤其是大型语言模型的兴起，为课堂整合带来挑战与机遇。尽管AI可协助教师个性化教学，但也引发师生互动弱化和隐私担忧。本文基于对教学人员的访谈，提出INSIGHT概念验证系统，整合多种AI工具以辅助师生解决作业问题。该系统通过提取学生提问中的关键词，动态构建基于学生问题的常见问题解答库，并为教师提供新见解，以支持更个性化的面对面辅导。其模块化设计使其可融入各类高等教育课程。未来工作可利用收集的数据实现自适应学习，根据学生进展和学习风格调整内容，打造更具互动性和包容性的学习体验。
原文摘要 · Abstract (English)
The rise of AI, especially Large Language Models, presents challenges and opportunities to integrate such technology into the classroom. AI has the potential to revolutionize education by helping teaching staff with various tasks, such as personalizing their teaching methods, but it also raises concerns, for example, about the degradation of student-teacher interactions and user privacy. Based on interviews with teaching staff, this paper introduces INSIGHT, a proof of concept to combine various AI tools to assist teaching staff and students in the process of solving exercises. INSIGHT has a modular design that allows it to be integrated into various higher education courses. We analyze students' questions to an LLM by extracting keywords, which we use to dynamically build an FAQ from students' questions and provide new insights for the teaching staff to use for more personalized face-to-face support. Future work could build upon INSIGHT by using the collected data to provide adaptive learning and adjust content based on student progress and learning styles to offer a more interactive and inclusive learning experience.
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