人工智能赋能离散数学课程的教学改革探索与实践

Exploration and Practice of Teaching Reform in Discrete Mathematics Courses Empowered by Artificial Intelligence

摘要: 离散数学是计算智能类人才培养的核心基础课程。针对离散数学传统教学模式存在的问题，本文以成果导向教育理念为指导，围绕课程目标、教学内容、教学方法和人工智能技术赋能四个维度开展教学改革。通过深入挖掘离散数学知识点与机器学习、知识图谱等前沿知识衔接，本文提出问题导向、案例分析与项目实践相结合的教学模式，同时引入人工智能技术辅助备课、教学与学情分析等智慧教学方式。改革实践旨在提升学生的逻辑推理能力和实践能力，为培养人工智能时代人才提供可借鉴的实践路径。

Abstract: Discrete mathematics is a core fundamental course for the cultivation of computational intelligence talents. In view of the problems existing in the traditional teaching mode of discrete mathematics, this paper, guided by the outcome-based education concept, conducts teaching reform around four dimensions, including curriculum objectives, teaching content, teaching methods, and the empowerment of artificial intelligence technology. By deeply exploring the connection between discrete mathematics knowledge points and cutting-edge knowledge such as machine learning and knowledge graphs, this paper proposes a teaching model that combines problem-oriented approaches, case analysis, and project practice. And it introduces artificial intelligence technology to assist in intelligent teaching methods (e.g., lesson preparation, teaching, and student situation analysis). The reform practice aims to enhance logical reasoning and practical abilities of students, providing a referenceable practical path for cultivating talents in the era of artificial intelligence.