This research explores an AI-driven curricular reconstruction in mechanical engineering, highlighting digital transformation and innovative pedagogies.
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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Su et al. (2025) studied this question.
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