Precise Industrial Alignment and Vocational Undergraduate Specialty Cluster Development: A Four-Co Mechanism Mapping Framework and Case Study
The upgrading of industrial structures and the iterative renewal of job-related technologies require vocational undergraduate education to transform its specialty development paradigm from merely “establishing specialties” to “connecting with industry.” To address the disconnect in demand transmission between industry and education, this study develops a four-chain mapping analytical framework comprising the industrial chain, job chain, specialty cluster, and course cluster, grounded in industry-education integration and outcome-based education. It also designs a five-stage iterative mechanism: demand identification, job deconstruction, specialty reorganization, course synergy, and evaluation feedback. The study argues that the job chain is the intermediary structure through which industrial demands enter the educational supply system; the specialty cluster is the organizational unit that carries capacity synergy; and the course cluster is the direct field in which demands are transformed into competencies. Using the Green Intelligent Construction Specialty Cluster at Hainan Vocational University of Science and Technology as a case, this study develops a job competency map, restructures the specialty cluster, reconstructs the curriculum system, and establishes a “co-construction–co-management–co-evaluation–sharing” mechanism for school-enterprise collaborative governance. This creates a dynamic feedback loop in which industrial demands run through the entire cycle of specialty development. The practice offers a replicable theoretical framework and operational paradigm for vocational undergraduate specialty clusters to overcome the “collection of specialties” dilemma and achieve precise alignment with regional industrial structures.
[1] Wu S, 2026, Path Construction for the Vertical Articulation Development of Vocational Education from the Perspective of Systems Science. China Adult Education, 2026(4): 46–56.
[2] Huang Z, Wang K, Zheng L, 2026, A Rational Examination of Cluster Cultivation of High-Skilled Talents from the Perspective of Industrial Cluster Theory. Education and Vocation, 2026(10): 5–14. https://doi.org/10.13615/j.cnki.1004-3985.2026.10.002.
[3] Zhang F, Sun J, 2026, Internal Logic, Realistic Constraints, and Path Exploration of Higher Vocational Education Resources Sinking to County Level: Based on field theory. Chinese Vocational and Technical Education, 2026(5): 5–14.
[4] Song Y, Xu Z, 2024, Harmonious Coexistence: Research on the Formation Models of Specialty Clusters in Vocational Undergraduate Colleges—A Multi-case Study Based on National Vocational Undergraduate Colleges. Chinese Vocational and Technical Education, 2024(16): 86–95.
[5] Kuang Y, Sun Q, 2026, Applied Undergraduate and Vocational Undergraduate: Can Different Paths Lead to the Same Destination? Chinese Vocational and Technical Education, 2026(10): 6–17.
[6] Han T, 2026, The “New Three Transformations” of the Modern Industrial System and Vocational Education Adaptability: Requirements, Characteristics, and Paths. Vocational and Technical Education, 47(10): 14–20.
[7] Zhang K, Li Y, Ma J, 2026, Research on the Construction of Collaborative Mechanisms for the Integrated Development of Education, Science and Technology, and Talent. Human Resources Development of China, 43(1): 126–139. https://doi.org/10.16471/j.cnki.11-2822/c.2026.1.008
[8] Cheng J, Yang X, 2023, Development History, Model Selection, and Repositioning of Industrial Colleges in Higher Vocational Colleges under Industrial Logic. Chinese Vocational and Technical Education, 2023(16): 50–55.
[9] Ji B, Li S, 2026, New Quality Curriculum: The Ideal Vision of Curriculum Development in Higher Vocational Colleges in the Digital-Intelligent Era. Jiangsu Higher Vocational Education, 26(2): 1–12. https://doi.org/10.15903/j.cnki.jniit.2026.02.001
[10] Yang P, Liu Y, 2026, Social Coordination of Skill Formation: A Typological Study of Intermediary Organizations in China’s Industry-education Integration. Chinese Vocational and Technical Education,2026 (9): 21–36 + 57.
[11] Ju C, 2026, Analysis of the Adaptive Development of Specialty Clusters in the Second Phase of the “Double High Plan.” Vocational and Technical Education, 47(15): 32–40.
[12] Que M, Guo J, 2026, From a Major Education Country to an Education Power: Challenges and Strategic Choices for China’s high-quality Education Development during the “15th Five-Year Plan” Period. Journal of Hebei Normal University (Educational Science), 28(1): 11–21. https://doi.org/10.13763/j.cnki.jhebnu.ese.2026.01.002
[13] Han T, He Z, 2026, Cluster Cultivation of High-Skilled Talents: Development Drivers, Core Features, and Action Strategies. Journal of National Academy of Education Administration, 2026(5): 67–75 + 85.
[14] Cui S, Yao C, 2023, Internal Logic, Target Positioning, and Implementation Paths of Talent Cultivation in Undergraduate-Level Vocational Education. Modern Education Management, 2023(4): 97–108. https://doi.org/10.16697/j.1674-5485.2023.04.010
[15] Su M, Huang J, Zhai W, et al., 2024, Accelerating the Implementation of New Quality Productive Forces to Promote the Establishment and Improvement of a Modern Industrial System. Journal of Industrial Technological Economics, 43(12): 21–41.
[16] Hu S, Yao Y, 2025, New quality productive forces empowering vocational education: Current status of talent cultivation, value orientation, and practical paths. Vocational Technology, 24(8): 30-36. https://doi.org/10.19552/j.cnki.issn1672-0601.2025.08.005
[17] Xi M, Cai F, Ma C, 2026, Typical Models, Realistic Challenges, and Optimization Paths of Intelligent Manufacturing Talent Cultivation in Higher Vocational Colleges from the Perspective of New Quality Productive Forces. Education and Vocation, 2026(8): 68–76. https://doi.org/10.13615/j.cnki.1004-3985.2026.08.007
[18] Editorial Department of China Journal of Highway and Transport, 2024, Review of Academic Research on Bridge Engineering in China—2024. China Journal of Highway and Transport, 37(12): 1–160. https://doi.org/10.19721/j.cnki.1001-7372.2024.12.001