AI-Empowered Talent Cultivation for Smart Manufacturing: Reconstructing Emerging Engineering Curricula and Innovating Multimodal Pedagogies

Jie Su; Bo Hu; Hongbing Wang; Lairong Yin; Zeliang Xiao

doi:10.62177/jetp.v2i3.533

Authors

Jie Su Changsha University of Science and Technology
Bo Hu Changsha University of Science and Technology
Hongbing Wang Changsha University of Science and Technology
Lairong Yin Changsha University of Science and Technology
Zeliang Xiao Changsha University of Science and Technology

DOI:

https://doi.org/10.62177/jetp.v2i3.533

Keywords:

Smart Manufacturing, Talent Cultivation, Mechanical Engineering, AI Empowerment, Multimodal Pedagogy, Industry-Academia Integration

Abstract

Amidst the deepening implementation of the Made in China 2025 strategy and the next-generation artificial intelligence revolution, this research addresses critical imperatives for digital transformation in mechanical engineering education. Centered on an AI-driven curricular reconstruction framework, we establish a tripartite reform paradigm integrating knowledge deconstruction, scenario reconstruction, and capability regeneration. Systematic innovations—including intelligent content iteration, cyber-physical teaching spaces, and data-driven assessment transformation—cultivate emerging engineering leaders equipped with systemic cognition of intelligent equipment, proficiency in industrial algorithm development, and cross-disciplinary innovation competencies. The approach constructs deeply coupled ecosystems bridging curricula, industrial demands, and research frontiers, delivering replicable, scalable, and certifiable AI-empowered solutions for core smart manufacturing programs within mechanical engineering disciplines.

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