Research on the Coupling of University Mathematics Curriculum Content and Artificial Intelligence from the Perspective of General Education

DOI

10.2991/978-94-6463-988-9_50How to use a DOI?

Keywords

College Mathematics; Artificial intelligence; General education; Course coupling; Talent cultivation

Abstract

Under the background of the era of artificial intelligence, the reform of university mathematics courses is extremely urgent. This study delves deeply into the necessity, feasibility and construction path of the deep coupling of university mathematics and AI from the perspective of general education. Mathematics, as the cornerstone of AI algorithms, its coupling not only enhances the timeliness and practicality of mathematics courses, but also cultivates students’ critical thinking, computational thinking, data literacy and AI ethics awareness. This is highly consistent with the goal of general education to cultivate compound talents. The feasibility of coupling stems from the high degree of similarity between the knowledge systems of the two, and is supported by modern teaching technologies and policies. However, challenges such as the balance of teaching staff and content need to be addressed strategically. To achieve effective coupling, this paper proposes: establishing five guiding principles of generality, fundamentality, forward-looking, practicality, and ethics, as well as multi-dimensional training goals; By “AI-ization” to transform existing courses, adding AI mathematics modules, and developing interdisciplinary courses, the content is reshaped. Innovate teaching models such as project-based learning and programming practice, and build a hierarchical and progressive curriculum system. This research aims to provide theoretical guidance for university mathematics education to adapt to the development of the AI era and cultivate high-quality compound talents.

Copyright

© 2026 The Author(s)

Open Access

Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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TY  - CONF
AU  - Yujing Wang
AU  - Yue Zhao
AU  - Chen Yu
AU  - Shuang Liang
PY  - 2026
DA  - 2026/02/15
TI  - Research on the Coupling of University Mathematics Curriculum Content and Artificial Intelligence from the Perspective of General Education
BT  - Proceedings of the 2025 5th International Conference on Education, Language and Art (ICELA 2025)
PB  - Atlantis Press
SP  - 456
EP  - 462
SN  - 2352-5398
UR  - https://doi.org/10.2991/978-94-6463-988-9_50
DO  - 10.2991/978-94-6463-988-9_50
ID  - Wang2026
ER  -