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The Application of Empowering AI in Advanced Mathematics Teaching

Author(s)

Haiqing Zhou

Affiliation(s)

Pujiang Institute, Nanjing Tech University, Nanjing, Jiangsu, China

Abstract

This paper systematically discusses the application paths and practice models of AI technology in advanced mathematics teaching in universities, with emphasis on the reform of advanced mathematics teaching assisted by AI in the three stages of "before class, during class, and after class". Intelligent learning diagnosis enables AI to achieve accurate pre-class preview; real-time interaction and intelligent assistance in the classroom allow for a better teaching and learning experience; and intelligent grading and personalized tutoring can extend the learning effects after class. The paper discusses the concrete implementation and effects of AI in the context of advanced mathematics instruction and identifies potential issues, such as technological limitations, data security, and changes in the role of the teacher. With the support of AI technology, advanced mathematics teaching is no longer "experience-driven" but becomes "data-driven", no longer "standardized teaching" but "personalized learning" and opens up new possibilities for improving the quality of advanced mathematics education.

Keywords

Advanced Mathematics; AI; Smart Teaching; Personalized Learning; Teaching Reform

References

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