Research on Teaching of Mechanical Majors in Universities 
based on Artificial Intelligence

Yiqing Yang; Yang Liu; Xinyao Fu

doi:10.70711/aitr.v3i6.8593

Research on Teaching of Mechanical Majors in Universities based on Artificial Intelligence

Yiqing Yang, Yang Liu, Xinyao Fu

Abstract

Against the backdrop of the new technological revolution, the deep integration of artificial intelligence (AI) technology with higher
education has emerged as a pivotal force driving educational digital transformation. Mechanical engineering disciplines, as core engineering fields combining theoretical knowledge with practical application, face multiple challenges in traditional teaching models, including the
absence of real-world practice scenarios, insufficient personalized training, and disconnection from industry demands. Leveraging its core
strengths in data processing, intelligent modeling, and virtual simulation, AI technology offers a novel approach to addressing these pedagogical challenges. This paper explores the central role of AI in mechanical engineering education at universities, analyzes innovative teaching
strategies under AI-driven frameworks, and proposes targeted practical approaches. These insights provide both theoretical foundations and
practical guidance for higher education institutions to achieve teaching reforms and high-quality development through AI integration.

Keywords

Artificial Intelligence; Mechanical Engineering in Universities; Practical Strategies

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References

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DOI: http://dx.doi.org/10.70711/aitr.v3i6.8593

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