Author(s)

Yu Zhu ¹, Binbin Qiu ¹, Weidong Li ¹

Affiliation(s)

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

Corresponding Author

Yu Zhu

ABSTRACT

With the rapid development of big data (BD) and artificial intelligence (AI) technologies, the teaching of mechanical engineering major is facing new opportunities and challenges. This article deeply explores the application status, problems, and challenges of BD and AI in the teaching of mechanical engineering major. Through a review of relevant domestic and foreign research and an analysis of practical application cases, it proposes an innovative strategy for the teaching mode of mechanical engineering major driven by BD and AI, including innovations in teaching methods, learning methods, practical teaching, curriculum design, teaching objectives and concepts, teaching content and methods, practical teaching links, and teaching evaluation systems. At the same time, it analyzes the challenges faced in the innovation process and proposes corresponding countermeasures. Finally, it summarizes the research and provides theoretical and practical references for the innovation of the teaching mode of mechanical engineering major.

KEYWORDS

Big Data (BD), Artificial Intelligence (AI), Mechanical Engineering Major, Teaching Mode Innovation

CITE THIS PAPER

Yu Zhu, Binbin Qiu, Weidong Li, Research on the Innovation of Teaching Mode in Mechanical Engineering Major Driven by Big Data and Artificial Intelligence. Advances in Educational Technology and Psychology (2025) Vol. 9: 36-44. DOI: http://dx.doi.org/10.23977/aetp.2025.090105.

REFERENCES

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[3] Chen Jingyuan, Hu Liya, Wu Fei. (2023) Investigation into the Transformation of Knowledge-Centered Pedagogy with ChatGPT/Generative AI. Journal of East China Normal University (Education Sciences), 7, 177-186.
[4] Xu Tao, Yan Li, Yin Junfeng, Zhou Bin. (2018) Development Models and Approaches of AI+ "New Engineering" from the Perspective of Innovation and Entrepreneurship Education. Journal of Distance Education, 1, 80-88.
[5] X. Liu, G. Wang, J. Wu. (2021) The Research Status, Progress, and Future Trends of New Engineering Education. Journal of Northwestern Polytechnical University (Social Sciences), 4, 63-70.
[6] Ding Guofu, Wang Shuying, Ma Shuwen, Zhang Jian. (2024) Exploration of Construction Model for Industry-Education Integration Curriculum System Based on Knowledge Graph. Research in Higher Education of Engineering, 2, 79-83&90. 

Sponsors, Associates, and Links

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• Curriculum and Teaching Methodology
  
  
• Transactions on Comparative Education
  
  
• Applied & Educational Psychology
  
  
• Advances in Vocational and Technical Education
  
  
• Adult and Higher Education