IJSEA Volume 15 Issue 10

Research on the Reconfiguration of Digital Twin-Driven Intelligent Manufacturing Courses and the Mechanism of Industry-Education Collaboration

Shujuan Xu
10.7753/IJSEA1510.1005
keywords : Digital Twin, Intelligent Manufacturing, Curriculum Reconstruction, Industry-Education Collaboration, Collaborative Education

PDF
The transformation and upgrading of the intelligent manufacturing industry demands more complex, digital and innovative technical and skilled personnel. The traditional curriculum system has problems such as outdated content, professional isolation, and separation between industry and education. However, digital twin technology possesses the characteristics of virtual-real correspondence, two-way interaction, and physical consistency, making it a new technological approach to reshape the curriculum system and innovate the mode of industry-education integration. This article, from the perspective of the policy orientation of industry-education integration and the cultivation laws of intelligent manufacturing talents, analyzes the current situation and existing problems of the intelligent manufacturing curriculum system and industry-education collaboration. Through curriculum system reconstruction, innovation of practical teaching methods, and shaping of collaborative mechanisms, it explores the transformation paths of intelligent manufacturing courses driven by digital twin technology, so as to achieve deep integration of the education chain, industry chain, innovation chain, and talent chain, and provide theoretical support and implementation paths for the cultivation of high-level technical and skilled talents in the intelligent manufacturing field.
@artical{s15102026ijsea15101005,
Title = "Research on the Reconfiguration of Digital Twin-Driven Intelligent Manufacturing Courses and the Mechanism of Industry-Education Collaboration",
Journal ="International Journal of Science and Engineering Applications (IJSEA)",
Volume = "15",
Issue ="10",
Pages ="33 - 42",
Year = "2026",
Authors ="Shujuan Xu"}