Research on Empowering Classroom Teaching Mode of "Mechanical Design" with Generative Artificial Intelligence Technology

DOI: https://doi.org/10.62517/jhet.202515601

Author(s)

Xiangping Liao*, Jie Zhou

Affiliation(s)

Jiangsu University of Technology, Changzhou, Jiangsu, China *Corresponding Author

Abstract

This article proposes a reform framework for the teaching mode of Mechanical Design, which is empowered by generative artificial intelligence technology, to address the problems of knowledge abstraction, limited practical scenarios, and single evaluation dimensions in traditional classroom teaching of "Mechanical Design". Through the development of course teaching resources based on DeepSeek, the construction of a course teaching evaluation system, and the application of a combination of virtual and real teaching methods, this study explores the reform of the classroom teaching mode of "Mechanical Design", providing a technological path and teaching paradigm for the digital transformation of mechanical courses that can be referenced. This study is not only the application of technical tools, but also a deep reshaping of the teaching philosophy, process, and evaluation of "Mechanical Design". It can effectively stimulate students' innovative potential and cultivate their comprehensive ability to solve complex engineering problems. The formed "AI empowered" teaching model paradigm can provide a replicable and promotable practical path and theoretical reference for the digital and intelligent teaching reform of similar engineering courses under the background of new engineering.

Keywords

Generative AI; DeepSeek; Mechanical Design; Classroom Teaching Mode; Teaching Reform

References

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