辩论式教学在《人工智能导论》课程中的融合实践

A Practical Integration of Debate-Based Teaching in the “Introduction to Artificial Intelligence” Course

摘要: 《人工智能导论》课程作为通识基础课，其讲授易侧重于深度学习，机器学习等算法原理及AIGC工具的使用上，而忽略学生对技术所带来影响的深层思考。为破除该教学瓶颈，本研究结合课程特征，设计并实施以“人工智能的利与弊？”为主题的全班辩论式教学活动，并构建了三层技术关联性框架，将学生学习到的算法知识有机融合到辩论环节中。此外，本研究还设计学生自评、同学互评与教师评价相结合的多维度评价体系。实践表明，该教学方法不仅能让学生自发回顾课堂所学、清晰算法流程还能激发学生对技术带来的影响产生多角度思考。该研究对新工科背景下相似课程教学设计与实践具有一定指导意义。

Abstract: As a foundational general education course, “Introduction to Artificial Intelligence” tends to prioritize the principles of algorithms such as deep learning and machine learning, as well as the operation of AIGC tools, while often neglecting students’ in-depth reflection on the implications of AI technology. To address this pedagogical bottleneck, this study, aligned with the course’s characteristics, designed and implemented a class-wide debate-based teaching activity themed “The Advantages and Disadvantages of Artificial Intelligence?”. Concurrently, a three-tiered technology relevance framework was constructed to organically integrate students’ acquired algorithmic knowledge into the debate sessions. Furthermore, a multi-dimensional assessment system was developed, incorporating student self-evaluation, peer review, and instructor assessment. Practical implementation indicates that this teaching approach not only prompts students to independently revisit classroom learning content and clarify algorithmic workflows but also stimulates their multi-perspective thinking on the impacts of AI technology. This research holds certain significance for the instructional design and practice of analogous courses in the context of emerging engineering education.