AI-EMPOWERED INDUSTRY-EDUCATION INTEGRATION: TEACHING REFORM EXPLORATION IN LITHIUM-ION BATTERY MANUFACTURING TECHNOLOGY
Keywords:
Artificial intelligence, Industry-education integration, Lithium-ion battery manufacturing, Curriculum reform, New quality productivityAbstract
The intelligent transformation of the new energy lithium-ion battery manufacturing industry has created an urgent demand for the cultivation of emerging engineering talents. In response to prominent issues in traditional curricula—such as the disconnect between course content and industrial technology, the fragmentation of practical teaching from engineering scenarios, insufficient depth in industry-education integration, and the misalignment of teaching evaluation with competency-based outcomes—this paper proposes a trinity curriculum reform model centered on “AI empowerment, industry-education integration, and interdisciplinary cross-pollination.” By reconstructing an integrated “AI + battery manufacturing” technology curriculum module, designing a “four-in-one” collaborative education mechanism, establishing a five-dimensional digital support system for educational mapping, and forming a trinity teaching model of “AI + micro-projects + engineering case studies,” this reform systematically addresses the structural challenges of traditional curricula. Practical results show that this approach significantly enhances students’ job competency and industrial adaptability, providing a replicable paradigm for the development of emerging engineering programs in new energy-related fields.References
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