Research on the Teaching Reform of Public Foundation Courses of University Mathematics in the Era of Artificial Intelligence_Vol. 2 No. 4 (JNSE 2025)_Journal of Natural Science Education (ISSN: 3005-5792)

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Research on the Teaching Reform of Public Foundation Courses of University Mathematics in the Era of Artificial Intelligence

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DOI: https://doi.org/10.62517/jnse.202517406

Author(s)

Mengling Yu*, Gaofeng Liu

Affiliation(s)

School of Mathematical and Statistical Sciences, Leshan Normal University, Leshan, Sichuan, China *Corresponding Author

Abstract

Under the background of the rapid development of artificial intelligence and its extensive penetration into the field of education, the teaching reform of the public foundation course of university mathematics is facing new opportunities and challenges. Aiming at the problems of lagging course objectives and evaluation mechanism, disconnection between teaching content and practical application, and insufficient interdisciplinary collaboration and resource sharing, this paper puts forward three reform strategies by combining artificial intelligence tools, i.e., updating the course objectives and evaluation mechanism to adapt to the needs of education in the new era, deepening the integration of teaching theory and practical application to enhance students' comprehensive ability, and promoting interdisciplinary collaboration and resource sharing to enhance the curriculum's overall competence. This paper proposes “three reform strategies”, namely: updating the course objectives and evaluation mechanism to meet the educational needs of the new era, deepening the integration of teaching theory and practical application to enhance the comprehensive ability of students, and promoting interdisciplinary collaboration and resource sharing to enhance the practicality and interactivity of the course. The aim is to comprehensively improve the teaching quality and educating effect of the public foundation courses of university mathematics, so as to better adapt to the development needs of higher education in the new era.

Keywords

Artificial Intelligence; University Mathematics; Teaching Reform; Interdisciplinary Collaboration; Higher Education

References

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