Empowering Industry-Education Integration of Intelligent Construction Specialty Group with New Quality Productivity: Path Construction and Empirical Research
DOI:
https://doi.org/10.70088/3db57j07Keywords:
new quality productivity, intelligent construction specialty group, industry-education integration, path construction, empirical researchAbstract
New quality productivity serves as a core impetus and guiding direction for the digital transformation of the construction industry and the reform of industry-education integration concerning the intelligent construction specialty group. In view of the prominent dilemmas in the current industry-education integration of this specialty group—including superficial school-enterprise collaboration, outdated curriculum systems, misaligned practical training scenarios, and a single-layered evaluation mechanism—this study takes the empowerment of new quality productivity as the entry point. It analyzes the inherent coupling logic between new quality productivity and industry-education integration, constructs a four-dimensional education pathway featuring 'government-school-enterprise coordination, post-course-competition-certificate integration, virtual-real scenario linkage, and diversified closed-loop evaluation', and conducts empirical testing based on practices in local higher vocational colleges. The research methodology incorporates both qualitative analysis and quantitative assessment to validate the effectiveness of the proposed framework. Through systematic implementation and evaluation over multiple academic cycles, the results demonstrate that this four-dimensional pathway effectively breaks through bottlenecks in industry-education integration, significantly improves talent training quality and industrial adaptability, and provides a replicable practical reference for advancing the reform of industry-education integration of intelligent construction specialty groups in peer institutions. The findings highlight the transformative potential of new quality productivity in reshaping vocational education paradigms and fostering sustainable industry-academia partnerships.References
Z. H. O. U. Xiaohan, M. C. H. E. N. Minyun, and D. Y. U. Dan, "Research on the Reform of Engineering Management Applied Talent Training Mode under the Background of Digital Transformation of Construction Industry," Journal of Engineering Management/Gongcheng Guanli Xuebao, vol. 38, no. 3, 2024.
W. Liu, Y. Zeng, D. Liu, Y. Huang, and Y. Hou, "Intelligent Construction-Driven Transformation of Construction Management Education for Sustainable Development: From the Educator’s Perspective," Sustainability, vol. 17, no. 20, p. 9079, 2025.
X. Zhang, Y. Zhang, Y. Lv, and H. Zhang, "Innovative application of electrical and intelligent personnel training mode in the construction industry under the Background of Artificial Intelligent Technology," in Journal of Physics: Conference Series, vol. 1915, no. 4, p. 042026, May 2021, IOP Publishing.
X. Li, Z. Wang, R. Yang, K. Yang, and M. Jin, "Research and Practice on the Training Model of High-Skilled Talents for Intelligent Buildings in the Context of China’s Modernization," in SHS Web of Conferences, vol. 209, p. 01003, 2024, EDP Sciences.
C. Lu, X. Zhang, and Z. Li, "Training Practice of High-Level Specialty Group Intelligent Construction Talents Based on the Integration of Post, Course, Competition and Certificate," in International Conference on Computer Science and Education, Singapore: Springer Nature Singapore, Dec. 2023, pp. 150-157.
F. Wang, "Exploring talent development pathways in the construction industry amid digital transformation," in 2024 4th International Conference on Internet Technology and Educational Informatization (ITEI 2024), Atlantis Press, Nov. 2024, pp. 20-29.
L. Tang, J. Tang, and Y. Tang, "Exploration of the Construction Mode of Industry-education Integrated Curriculum System Based on Knowledge Graph," in 2024 14th International Conference on Information Technology in Medicine and Education (ITME), Sep. 2024, pp. 1186-1190.
T. Fan, "Intelligent education platform for industry-education integration: technical architecture and key algorithms," in Proc. Third Int. Conf. Big Data, Computational Intelligence, and Applications (BDCIA 2025), vol. 14128, Feb. 2026, pp. 465-472.
M. Dong and S. Bi, "Exploration of Practical Teaching on Intelligent Systems Based on Industry-Education Integration," in Exploring Innovations in Educational Technology: The ICEIT’25 Collection: Advancing Knowledge and Practice, Singapore: Springer Nature Singapore, 2026, pp. 447-455.
Y. Cai, "Pathways to Enhancing Employment Quality for Vocational College Graduates in Construction Under the Background of Intelligent Construction: The 'Four Integrations, Three Supports, and Two Micro-Initiatives' Model——A Longitudinal Tracking Study Across 15 Institutions and Industry Big Data Analysis," in Proceedings of the 2025 International Conference on Digital Society and Intelligent Computing, Nov. 2025, pp. 297-305.
L. Dong, "Construction of Industry-Education Integrated Ecosystem of Vocational Education Based on Computer Artificial Intelligence," in International Conference on Educational Technology and Administration, Cham: Springer International Publishing, Dec. 2022, pp. 441-454.
J. Wu and Y. Li, "Constructing a synergistic intelligent control system for industry-education integration and competition-driven pedagogy," in Proc. Int. Conf. Automation and Intelligent Technology (ICAIT 2025), vol. 13812, Sep. 2025, pp. 149-155, SPIE.
L. Chen and C. Han, "Curriculum System Construction for Artificial Intelligence Technology Majors under the Integration of Industry and Education," in Proceedings of the 2nd International Conference on Intelligent Education and Computer Technology, June 2025, pp. 964-969.
Downloads
Published
Issue
Section
License
Copyright (c) 2026 Ming Chen (Author)

This work is licensed under a Creative Commons Attribution 4.0 International License.








