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 rise of Industry 4.0 and the deep implementation of the "Made in China 2025" strategy, intelligent manufacturing has become a key driving force for the transformation and upgrading of the manufacturing industry. Against this backdrop, the innovation of talent training strategies and models in mechanical engineering has become a focus of attention in the educational sector. This paper first clarifies the connotation, characteristics, and development trends of intelligent manufacturing. It then provides a detailed analysis of the current state of talent training in mechanical engineering, identifying the main issues present. Addressing these issues, the paper proposes talent training programs that meet the demands of intelligent manufacturing. From the perspective of training strategy and model innovation, it thoroughly discusses multidisciplinary crossover training models, school-enterprise cooperation mechanisms, international vision training models, and innovative entrepreneurship education models. Finally, the paper presents specific implementation paths and safeguard measures, aiming to provide references for universities and related educational institutions to better adapt to the talent development needs under the context of intelligent manufacturing.

KEYWORDS

Intelligent Manufacturing, Mechanical Engineering, Talent Training

CITE THIS PAPER

Yu Zhu, Binbin Qiu, Weidong Li, Talent Training Strategies and Models for Mechanical Engineering Majors in the Age of Intelligent Manufacturing. Curriculum and Teaching Methodology (2024) Vol. 7: 194-205. DOI: http://dx.doi.org/10.23977/curtm.2024.070929.

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Sponsors, Associates, and Links

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