A Study on School-Enterprise Collaborative Education Mechanisms from the Dual-Subject Governance Perspective

Main Article Content

Zhi Wang
Yu Li-Jung

Abstract

This article aimed to (1) identify the key characteristics of successful dual-subject cooperation between vocational colleges and enterprises; (2) explore the main obstacles that hinder such cooperation; and (3) evaluate the explanatory power of the proposed mechanism model for assessing the effectiveness of this collaboration. The research employed a mixed-methods approach, with 20 key informants including administrators, enterprise managers, faculty members, and industry mentors interviewed in five vocational schools and their cooperative enterprises in the western, eastern, and southwestern regions of Sichuan Province. Additionally, 286 participants from 15 vocational schools and enterprises took part in a quantitative survey. Data were collected using semi-structured interviews (qualitative phase) and a structured questionnaire based on the Likert scale (quantitative phase). The analysis utilized descriptive statistics, content analysis, exploratory factor analysis, and structural equation modeling. The findings revealed that 1) mutual trust, shared goals, and collaboratively developed curricula were essential for effective school-enterprise cooperation, fostering alignment between schools and enterprises; 2) governance logic differences, poor communication, and unequal benefit distribution were significant obstacles that led to uneven participation and unclear roles; and 3) the proposed dual-subject mechanism model effectively explained the collaborative efficacy, emphasizing institutional reciprocity, dynamic co-governance, and policy frameworks in sustaining successful collaboration. The results suggest that effective school-enterprise collaboration requires trust, agreement, and jointly built systems, supported by policies and active management to resolve participation discrepancies.

Article Details

How to Cite
Wang, Z., & Li-Jung, Y. (2026). A Study on School-Enterprise Collaborative Education Mechanisms from the Dual-Subject Governance Perspective . Journal of Multidisciplinary in Humanities and Social Sciences, 9(1), 1–18. retrieved from https://so04.tci-thaijo.org/index.php/jmhs1_s/article/view/282991
Section
Research Articles

References

Abad-Segura, E., & González-Zamar, M. D. (2021). Digital design in artistic education: An overview of research in the university setting. Education Sciences, 11(4), 144. https://doi.org/10.3390/educsci11040144

Beavers, A. S., Esquivel, S. L., Huck, S. W., Lounsbury, J. W., Richards, J. K., & Skolits, G. J. (2013). Practical considerations for using exploratory factor analysis in educational research. Practical Assessment, Research & Evaluation, 18(6), 6. https://doi.org/10.7275/qv2q-rk76

Bielby, W. T., & Hauser, R. M. (1977). Structural equation models. Annual Review of Sociology, 3, 137-161. https://doi.org/10.1146/annurev.so.03.080177.001033

Cheng, C., Cheng, S., & Feng, C. (2024). The Triple Helix Model for industry-education-city integration in China: A development approach. SAGE Open, 14(2), https://doi.org/10.1177/21582440241250111

Downe‐Wamboldt, B. (1992). Content analysis: Method, applications, and issues. Health Care for Women International, 13(3), 313-321. https://doi.org/10.1080/07399339209516006

Haisheng, P., Shibin, W., & Deyi, L. (2016). Analysis of the current state of school-enterprise cooperation in Chinese higher vocational education and influencing factors. Chinese Education & Society, 49(3), 152–165. https://doi.org/10.1080/10611932.2016.1218253

Hardy, I., & Liu, S. (2022). Complex connectivities: Policy networks, data infrastructures, and vocational education reform in China. International Journal of Educational Research, 115, 102045. https://doi.org/10.1016/j.ijer.2022.102045

Hu, Y., & Panyadee, C. (2024). LogTODIM-PROMETHEE technique for development evaluation of school-enterprise cooperation from the perspective of collaborative education based on the probabilistic linguistic group decision-making. Heliyon, 10(13), e33391. https://doi.org/10.1016/j.heliyon.2024.e33391

Hua Chen, S., Tau Lee, H., & Tso Lin, H. (2004). Enterprise partner selection for vocational education: analytical network process approach. International Journal of Manpower, 25(7), 643-655. https://doi.org/10.1108/01437720410563980

Katsioudi, G., & Kostareli, E. (2021). A sandwich-model experiment with personal response systems on epigenetics: Insights into learning gain, student engagement, and satisfaction. FEBS Open Bio, 11(5), 1282-1298. https://doi.org/10.1002/2211-5463.13135

Kaur, P., Stoltzfus, J., & Yellapu, V. (2018). Descriptive statistics. International Journal of Academic Medicine, 4(1), 60-63. https://doi.org/10.4103/IJAM.IJAM_7_18

Kravchenko, O., Diachok, O., Dovbenko, S., Nikolaienko, O., & Shpynta, H. (2023). Dual Education Models in Modern Educational Institutions. Journal of Technical Education and Training, 15(3), 257-267. Retrieved from https://publisher.uthm.edu.my/ojs/index.php/JTET/article/view/12732

Lai, L., Fang, J., Huang, J., Huang, R., Jiang, Z. L., Shi, W., ... & Wang, L. (2023). Task-driven ADDIE-twist model with a teach-study double-helix structure. IEEE Transactions on Education, 67(1), 1-10. https://doi.org/10.1109/TE.2023.3296975

Liang, S. Z., Xu, J. L., Hsu, Y. M., & Liu, Y. Q. (2025). Bridging the gap: An analysis of key factors driving industry-education integration in application-oriented undergraduate institutions. Current Science, 5(4), 3504-3514. https://doi.org/10.52845/CS/2025-5-4-15

Shen, X., Song, J., Wang, J., & Zhang, Y. (2022). Research on the influence mechanism of enterprises' participation in school-enterprise cooperation based on the analysis framework of the theory of planned behavior. Frontiers in Psychology, 13, 860045. https://doi.org/10.3389/fpsyg.2022.860045

Sun, G. (2020). Research on the cooperative development of university and industry economy based on Internet of Things technology. Transactions on Emerging Telecommunications Technologies, 31(12), e3917. https://doi.org/10.1002/ett.3917

Wolf, E. J., Clark, S. L., Harrington, K. M., & Miller, M. W. (2013). Sample size requirements for structural equation models: An evaluation of power, bias, and solution propriety. Educational and psychological measurement, 73(6), 913-934. https://doi.org/10.1177/0013164413495237

Xinmiao, S. (2024). Can the two Karls—Karl Polanyi and Karl Marx—meet? A critical examination of Chinese vocational education, internship regimes, and labor forms. Critical Sociology, 51(7-8), 1447-1463. https://doi.org/10.1177/08969205241292751

Yu, Y., Gu, H., Liang, B., Chen, X., Chen, Z., & Wang, L. (2024). Performance evaluation of school-enterprise collaborative innovation and practice of innovation and entrepreneurship education based on the improved AHP fuzzy comprehensive evaluation method. Discrete Dynamics in Nature and Society, 5583728. https://doi.org/10.1155/2024/5583728

Zhang, Y. (2021). Application of distributed data system and fuzzy feature recognition in school-enterprise cooperative talent training mode. Journal of Ambient Intelligence and Humanized Computing, 1-12. https://doi.org/10.1007/s12652-021-03206-9