Intelligent Scheduling-Driven Co-Creation Manufacturing Closed-Loop Reform Oriented by Industry-Education Integration

Tao Wang, Yumeng Yuan, Mingyuan Cheng, Fan Yang and Haojian Tan

Education Insights, 2026, vol. 3, issue 2, 15-21

Abstract: In the context of multidisciplinary integration, universities must bridge the gap between classroom teaching and industrial practice to achieve deep industry-education integration. Currently, university teaching faces issues such as misalignment of curriculum with industry needs and low efficiency in resource allocation. This paper proposes a closed-loop teaching reform model oriented by industry-education integration, built upon an intelligent course scheduling system for academic resources and a university-enterprise co-creation manufacturing platform. Through AI-driven smart scheduling to optimize on-campus course and resource allocation, and by introducing real enterprise projects into the teaching process, a closed-loop flow from classroom to practice and back is established. We detail the closed-loop teaching process and system architecture, which enable data-driven teaching optimization and collaborative innovation between universities and enterprises. This approach provides a new idea for talent training reform under a multidisciplinary background.

Keywords: industry-education integration; intelligent scheduling; university-enterprise collaboration; co-creation manufacturing; Teaching closed-loop (search for similar items in EconPapers)
Date: 2026
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Persistent link: https://EconPapers.repec.org/RePEc:axf:eiaaaa:v:3:y:2026:i:2:p:15-21

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