Research on Pathways for Optimising Talent Development Models through Industry-Education Integration in Higher Vocational Colleges Against the Backdrop of Digital and Intelligent Transformation
DOI:
https://doi.org/10.66069/ojspub.26820603Keywords:
Digitalisation and intelligentisation, Industry-education integration, Talent development models, Vocational educationAbstract
Against the backdrop of digital and intelligent technologies profoundly transforming the industrial ecosystem, these technologies have injected new momentum into industry-education integration. However, talent development in higher vocational colleges currently faces structural challenges, including loose mechanisms for school-enterprise collaboration, lagging digital literacy among teaching staff, and an imbalance in the allocation of teaching resources. Based on the theoretical framework of industry-education integration, this paper systematically analyses the multidimensional challenges faced by higher vocational colleges during their digital and intelligent transformation, and proposes three optimisation pathways: innovating digital and intelligent education paradigms, reshaping teachers’ digital capabilities, and constructing a smart resource ecosystem. The study aims to promote the transition of industry-education integration from a ‘mechanical combination’ to an ‘organic symbiosis’ through technological empowerment, resource reorganisation and institutional innovation, thereby providing a practical paradigm for the high-quality development of vocational education.
References
Liu Guobin, Qi Boyang. A Study on the Integrated Development of Digital Intelligence and Information Technology in County-level Towns [J]. Information Science, 2022, 40(3): 21–26.
Li Wanxiang. Digital Intelligence Scenarios Drive Consumption Upgrading [N]. Economic Daily, 8 April 2023 (10).
Zhang Xinwei. A Study on the Evolution of Innovation Models under the Digital Economy [J]. The Economist, 2019(7): 32–39.
Wang Bing. What is Digital Intelligence? A Study on the Multiple Meanings of the Concept of Digital Intelligence [J]. Journal of Information Science, 2023, 42(7): 71–76.
Jiang Dayuan. Cross-Boundary, Integration and Reconstruction: Three Major Characteristics of Vocational Education as a Type of Education — Reflections on Studying the ‘Implementation Plan for the Reform of National Vocational Education’ [J]. Chinese Vocational and Technical Education, 2019(7):9-12.
Luo Ruzhen. A Study on the Mechanism of Industry-Education Integration in Higher Vocational Education under the Market Economy [J]. Education and Vocational Training, 2014(21):8-11.
Zhang Zifa, Wang Yujie, Li Tuoyu, et al. Review and Outlook of Talent Development Policies for Industry-Education Integration in the New Era: A Textual Analysis Based on Policy Instruments [J]. Journal of Zhejiang University (Humanities and Social Sciences Edition), 2022,(12):104-113.
Mou Yanlin, Li Kejun, Li Junjie. How Applied Undergraduate Universities Can Lead the Development of Disciplinary Clusters Through Industry-Education Integration [J]. Research on Higher Education, 2020, (3): 42–50.
Xu Jiaqing. Strategies and Implementation Pathways for Deepening Industry-Education Integration in Applied Undergraduate Institutions [J]. Chinese University Teaching, 2018, (12): 79–81.
Guo Yuanyuan, Wang Shuai. The Mechanisms of the School-Enterprise Divide and Pathways to its Resolution from a Field Perspective [J]. Adult Education, 2024(2): 53–61.