Building a New Engineering AI+ Curriculum System Driven by Industry‒Education and Research‒Education Integration
XU Guoyan , YANG Shichun , ZHANG Yongfei , LIU Conglin
Front. Educ. China ›› 2026, Vol. 21 ›› Issue (3) : 272 -288.
To address core issues such as the insufficient foundation of artificial intelligence (AI) education in the development of new engineering disciplines and its disconnection from industrial and research applications, this study proposed an approach to building an AI+ curriculum system driven by industry‒education and research‒education integration. By deeply integrating resources from leading enterprises and cutting-edge research projects, real industry needs and scientific research challenges were transformed into modular teaching cases. A course cluster blending general and specialized knowledge and integrating undergraduate and postgraduate education was developed, alongside the innovative implementation of a teaching model featuring project-driven approaches and course‒competition integration. The results demonstrated that the system significantly enhanced the AI innovation and practical competencies of non-information major students, providing a replicable and generalizable new educational paradigm for empowering the intelligent transformation of traditional industries.
new engineering / industry‒education integration / research‒education integration / artificial intelligence (AI) education / curriculum system
Higher Education Press
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