数学与人工智能融合教育的跨学科创新能力培养与实践

Interdisciplinary Innovation Capability Development and Practice in Mathematics and Artificial Intelligence Integrated Education

摘要: 人工智能在当前社会有着极为广泛的应用，随着人工智能的快速发展，在国家发展中占据了重要高地。众所周知，数学与人工智能密切相关，数学不仅是人工智能的理论基础，还在其算法、模型和应用中发挥着关键作用，人工智能又能将数学理论应用在实际生活中。数学与人工智能相辅相成，互相促进。因此，数学和人工智能的交叉融合成为当前和未来高校教育的一个重要方向。鉴于此，本文聚焦于数学与人工智能交叉融合教育及学生创新能力培养，面对当前学科融合的复杂性、课程设计与教学方法的整合以及缺乏跨学科项目实践与创新机会三方面挑战，提出数学基础与人工智能的交叉点分析、跨学科课程融合与设计以及跨学科科研实践与创新的应对策略。

Abstract: Artificial intelligence has a very wide range of applications in today’s society, and with its rapid development, it occupies an important position in national development. It is well known that mathematics is closely related to artificial intelligence; not only is mathematics the theoretical foundation of AI, but it also plays a key role in its algorithms, models, and applications. In turn, artificial intelligence can apply mathematical theories to real-life situations. Mathematics and artificial intelligence complement and promote each other. Therefore, the integration of mathematics and artificial intelligence has become an important direction for education in universities both now and in the future. In light of this, this paper focuses on the education and cultivation of innovative capabilities at the intersection of mathematics and artificial intelligence. It addresses three challenges: the complexity of interdisciplinary integration, the integration of course design and teaching methods, and the lack of interdisciplinary project practice and innovation opportunities. The paper proposes strategies for analyzing the intersections of mathematical foundations and artificial intelligence, integrating and designing interdisciplinary courses, and promoting interdisciplinary research practice and innovation.