Volume 3,Issue 9
Research on Mechanisms and Pathways of Generative Artificial Intelligence Empowering Intelligent Manufacturing Curriculum Teaching Reform
Objective: Focusing on the adaptability contradiction between talent cultivation in the intelligent manufacturing field and industrial demands, this paper proposes a curriculum teaching reform plan with generative artificial intelligence (GAI) technology as the core driving force. By constructing a “dual-loop driving” teaching model (collaboration between the cognitive construction loop and the technology empowerment loop) and an AI-enhanced C2D2IO framework, the theoretical mechanism of human-machine collaborative teaching is systematically explored. Based on the “three-stage nine-step” teaching method, the curriculum system is reconstructed, and a teaching system integrating digital twin and intelligent diagnosis functions is developed. Practical paths, including industrial fault case library construction, cloud-based resource sharing, and enterprise projects entering the classroom, are formed. Finally, the reform effect is verified through the “four-dimensional radar evaluation model” (learning satisfaction, competency achievement, industrial adaptability, innovation contribution). Research shows that this plan can shorten the post adaptation period of graduates to 2.8 months, increase the proportion of real enterprise projects entering the classroom to 60%, and improve the score of complex engineering problem-solving ability by 18.2 points. The research results can provide a theoretical reference and a practical paradigm for the digital transformation of engineering education in the background of emerging engineering education.
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