探究学生在证明类数学课中如何使用生成式AI及其看法
Gen AI in Proof-based Math Courses: A Pilot Study
- 通过问卷与访谈，分析三门证明类数学课学生用AI情况
- 学生普遍认为AI有帮助但准确性有限，常需人工验证
- 适合教育研究者与课程设计者参考教学AI融合策略
随着生成式AI在高等教育中的迅速发展，理解学生如何使用AI变得日益重要。本探索性研究考察了三门以证明为核心的本科数学课程中学生对生成式AI的使用与看法：第一学期抽象代数课、拓扑学课和第二学期抽象代数课。每门课程均允许一定程度使用生成式AI。基于学生问卷与访谈，本文分析了学生如何与AI工具互动，以及他们对生成式AI在实用性、准确性和局限性方面的感知。
原文摘要 · Abstract (English)
With the rapid rise of generative AI in higher education, understanding how students use AI is increasingly important. This exploratory study examines student use and perceptions of generative AI across three proof-based undergraduate mathematics courses: a first-semester abstract algebra course, a topology course, and a second-semester abstract algebra course. In each case, course policy permitted some use of generative AI. Drawing on survey responses and student interviews, we analyze how students engaged with AI tools as well as their perceptions of generative AI's usefulness, accuracy and limitations.
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