Research on the Mechanism, Path, and Practice of AI-Driven Precise Matching Between Industrial Demand and Educational Supply: A Case Study of Chaoxing Venus Major Construction System
The rapid development of new quality productive forces and the digital economy has driven continuous iteration and upgrading of posts in the intelligent manufacturing industry, raising the market’s training standards for compound practical technical and skilled talents. At present, talent training in domestic vocational colleges generally suffers from a variety of supply-demand mismatches, mainly manifested as delayed perception of industrial demands, ambiguous post competency standards, lagging updating of curriculum systems, and rigid talent training programs. Traditional docking modes relying on manual research and school-enterprise forums can no longer adapt to the dynamic development needs of industries. Adopting action research, enterprise investigation, and case analysis as research methods, this paper takes the Chaoxing Venus Post Competency Mapping System as a practical carrier to explore the practical path of industry-education integration empowered by artificial intelligence. Supported by the digital functions of the platform, this study breaks down information barriers between industry and education, clarifies the operational mechanism of AI-enabled precise industry-education matching, and disassembles standardized implementation procedures. Practices show that this digital model can effectively resolve the disconnection in industry-education integration and provide operable references for vocational colleges to realize industry-education supply-demand matching and dynamic major adjustment.
[1] Hu Z, 2026, Grasp the Direction, Focus on Key Points and Hold the Bottom Line — Promote High-Quality Development of Vocational Education Driven by Evaluation Reform. Chinese Vocational and Technical Education, (11): 1.
[2] General Office of the CPC Central Committee, General Office of the State Council, 2021, Opinions on Promoting the High-Quality Development of Modern Vocational Education.
[3] Ministry of Education, Ministry of Finance, 2025, Opinions on Implementing the Second Phase Plan for Building High-Level Vocational Colleges and Majors.
[4] Qi Z, Zhan M, 2025, The Internal Mechanism of Artificial Intelligence Empowering Vocational Education Under the Techno-Economic Paradigm. Journal of Southwest University (Social Sciences Edition), (06): 211–222.
[5] Li Q, 2020, Logic, Indicators and Practical Path of Dynamic Major Adjustment in Higher Vocational Colleges. Vocational Education Research, (3): 53–57.
[6] Miao L, Cao H, 2026, Analysis on Construction Logic of Major Competency Maps Based on Post Demands. Journal of Liaoning Higher Vocational Institutes, 28(1): 30–32 + 69.
[7] Zhao Z, Yu Y, 2026, Generative Artificial Intelligence Empowering Vocational Education Teaching: Theories and Cases. Chinese Vocational and Technical Education, (02): 86–93.
[8] Wei L, Ma Y, Sun J, et al., 2025, Analysis of Supply-Demand Contradictions Between Vocational Undergraduate Education and Industrial Demands and Discussion on Solutions. Journal of Hebei Vocational University of Science and Engineering, 42(6): 19–23.
[9] Chen X, 2025, Research on Closed-Loop Collaborative Mechanism of Animation Talent Supply and Demand From the Perspective of Industry-Education Integration Community — Practical Verification Based on AI-Assisted Evaluation and Order Classes, Proceedings of the 5th Sichuan-Chongqing “Digital Intelligence” Design Application Skills Competition & the 11th Sichuan Intelligent Hardware Design Competition in 2025, 91–94.
[10] Xing Y, Zhu X, Mo X, 2026, Research on Digital Intelligent Transformation Path of Vocational Education From the Perspective of New Quality Productive Forces. Journal of Continuing Education, (8): 41–47.
[11] Hong B, Yan H, 2024, Establishment Logic, Practical Dilemmas and Breakthrough Paths of Industrial-Education Integration Communities. Vocational and Technical Education, 45(16): 44–50.
[12] Gong X, 2025, Research on Path of High-Quality Development of Vocational Education Empowered by Digital Technology. Journal of Hubei Open Vocational College, 38(21): 167–168 + 172.
[13] Peng J, Wang J, 2024, Comparative Research on Talent Training Modes of Vocational Undergraduate Education — Text Analysis Based on Education Quality Reports of 32 Vocational Undergraduate Colleges. Vocational Education Forum, 40(2): 32–41.
[14] Shi J, 2026, Construction of Linked Enrollment and Employment Model in Vocational Education From the Perspective of Industry-Education Integration. Journal of Jiamusi Vocational Institute, 42(5): 227–229.
