Author(s)

Yu Zhu ¹

Affiliation(s)

¹ School of Mechanical Engineering, University of Shanghai for Science and Technology, Shanghai, 200093, China

Corresponding Author

Yu Zhu

ABSTRACT

The rapid development of artificial intelligence (AI) technology has brought new possibilities for the systemic transformation of mechanical engineering education. Based on the teaching characteristics and era challenges of the mechanical engineering discipline, this paper systematically explores the integration paths and innovative application modes of AI technology in the teaching of the mechanical engineering major. Firstly, the study analyzes the practical background and core connotation of AI empowering mechanical engineering teaching and then constructs a theoretical framework for AI technology integration from four dimensions: curriculum system restructuring, teaching model innovation, experimental practice upgrading, and personalized learning support optimization. On this basis, the paper deeply discusses the key application scenarios, including curriculum content organization based on knowledge graphs, the human-machine collaborative classroom teaching paradigm, virtual-real integrated experimental practice ecology, and data-driven personalized learning support. Finally, the study probes into the challenges and corresponding strategies faced by the application of AI technology, aiming to provide theoretical reference and practical guidance for mechanical engineering educators to promote the digital transformation of teaching.

KEYWORDS

Artificial Intelligence; Mechanical Engineering Education; Curriculum System Restructuring; Teaching Model Innovation; Human-Machine Collaboration

CITE THIS PAPER

Yu Zhu. Research on the Integration and Innovative Application of Artificial Intelligence Technology in Mechanical Engineering Teaching. Curriculum and Teaching Methodology (2026). Vol. 9, No. 5, 36-44. DOI: http://dx.doi.org/10.23977/curtm.2026.090505.

REFERENCES

[1] Montini E, Cutrona V, Bonomi N, et al., (2022) An IIoT Platform For Human-Aware Factory Digital Twins. Procedia CIRP, 107: 661-667.
[2] Su X, Xu X, Wang T, (2026) Innovation of Teaching and Learning Scenes and Models Empowered by Artificial Intelligence: Practice and Experience of AI-Powered Programming Courses. Frontiers of Digital Education, 3: 4.
[3] Alghazo M, Ahmed V, Bahroun Z, (2025) Exploring the applications of artificial intelligence in mechanical engineering education. Frontiers in Education, 9.
[4] Columbia Engineering. (2025) An AI-Enhanced Education. Columbia University. https://www.engineering.columbia.edu/about/news/ai-enhanced-education.
[5] Beihang University. (2025) This Course from the School of Mechanical Engineering Has Been Selected. School of Mechanical Engineering and Automation. https://www.me.buaa.edu.cn/info/1126/8590.htm.
[6] Cornell University. (2025) Bringing AI into the Mechanical Engineering Curriculum at Cornell. Sibley School of Mechanical and Aerospace Engineering. https://www.duffield.cornell.edu/mae/2025/12/11/bringing-ai-into-mechanical-engineering-curriculum-cornell/.
[7] Alghazo M, Ahmed V, Bahroun Z, (2025) A Comprehensive Review of Applications of AI Technologies in Higher Engineering Education. Discover Education, 4: 528.

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