生成式人工智能赋能离散数学课程教学改革研究

Research on the Reform of Discrete Mathematics Course Teaching Empowered by AIGC

摘要: 离散数学教学长期存在内容抽象、理论脱离实践、学生学习动力不足等问题。生成式人工智能技术的快速发展，为破解上述难题提供了新的技术可能。该研究从教学内容重构、教学模式创新、支持体系重组和作业自动批改四个维度，提出生成式人工智能赋能离散数学教学改革的路径。该研究为提高应用型本科离散数学课程教学质量提供了可资借鉴的方案。

Abstract: Discrete Mathematics instruction has long been plagued by issues such as abstract content, a disconnect between theory and practice, and a lack of student motivation. The rapid advancement of AIGC offers new technical possibilities for addressing these challenges. This study proposes pathways for empowering discrete mathematics teaching reform with AIGC across four dimensions: reconstruction of teaching content, innovation of teaching models, reorganization of support systems, and automated assignment grading. The study provides a replicable and referable framework for improving the teaching quality of discrete mathematics courses in application-oriented undergraduate programs.