Research on the Personalized Teaching Mode of University Mathematics Driven by Generative AI
Abstract
This study focuses on the teaching application of generative AI in university mathematics and attempts it as a technical means of
personalized teaching. It builds a personalized teaching model of generative AI technology featuring intelligent content generation, immediate
feedback, dynamic learning paths, and visual generation of complex mathematical concepts, and conducts an empirical study on the teaching
of the personalized model of generative AI technology. It is hoped that the teaching quality and efficiency of university mathematics can be
improved to meet the challenge of students individualized needs.
personalized teaching. It builds a personalized teaching model of generative AI technology featuring intelligent content generation, immediate
feedback, dynamic learning paths, and visual generation of complex mathematical concepts, and conducts an empirical study on the teaching
of the personalized model of generative AI technology. It is hoped that the teaching quality and efficiency of university mathematics can be
improved to meet the challenge of students individualized needs.
Keywords
Generative AI; College Mathematics; Personalized teaching
Full Text:
PDFReferences
[1] Research on the Enabling Application of Generative Artificial Intelligence in University Mathematics Teaching [J]. Chinese Science and
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[2] Wu Changcheng, Hu Shuangwu, Jiang Yujiang, Mu Ya, PI Zhongling. Architecture Design and Empirical Research of GenAI-driven
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DOI: http://dx.doi.org/10.70711/neet.v3i5.6990
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