AI-Empowered Research on College Mathematics Teaching

Hong-Yu Zhang ( Shanxi Datong University, Datong, Shanxi, 037000, China )

https://doi.org/10.37155/2972-4856-0304-14

Abstract

With the rapid rise of artificial intelligence (AI) technologies, the teaching of college mathematics must evolve accordingly. As a fundamental discipline for science and engineering majors, college mathematics requires innovation in curriculum content, teaching methods, instructional formats, and evaluation systems under the empowerment of AI. Such innovation not only provides students with more adaptive and efficient learning models but also offers new opportunities for teacher development. This paper explores the construction of intelligent teaching systems, the reshaping of teacher roles, and the improvement of evaluation mechanisms within the context of AI-empowered college mathematics education.

Keywords

AI empowerment; college mathematics; teaching; research

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References

[1] Zakirova V G, Shilova Z V. Integrative connection of mathematics and economics[J]. International Electronic Journal of Mathematics Education, 2016, 11(8): 3021-3036.
[2] Reena M. Patel', Falguni M. Patel2.Optimum Use of Matrix and Linear Algebra for Technological Development for Human Being in Real Life[J]. International Journal of Research in Engineering, Science and Management, 2020(3):212-215.
[3] Teixeira K C B. Pedagogical strategies to enhance learning in a linear algebra course[J]. PRIMUS, 2023, 33(2): 152-174.
[4] Sangpom W, Suthisung N, Kongthip Y, et al. Advanced Mathematical Thinking and Students' Mathematical Learning: Reflection from Students' Problem-Solving in Mathematics Classroom[J]. Journal of Education and Learning, 2016, 5(3): 72-82.

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