AI-Driven Industry-Education Integration: A Case Study of Teaching Management Practices in Application-Oriented Universities
Keywords:
artificial intelligence；application-oriented universities；curriculum development；industry-education integration；teaching management.Abstract
The rapid development of artificial intelligence (AI), particularly generative AI technologies, is reshaping higher education systems and prompting new approaches to industry-education integration in application-oriented universities. While existing studies have discussed the importance of aligning higher education with industry needs, limited attention has been given to how AI can be embedded into teaching management practices to enhance the effectiveness of such integration.This study explores AI-driven industry-education integration through a qualitative case study of teaching management practices in application-oriented universities. Drawing on institutional documents, policy materials, and teaching reform practices, the study examines how teaching management systems facilitate collaboration between universities and industry partners under the influence of AI technologies.The findings indicate that AI contributes to (1) improving coordination efficiency in industry-education collaboration, (2) supporting data-informed decision-making in curriculum and program development, and (3) optimizing teaching reform project management processes. However, challenges remain in terms of system fragmentation, uneven digital capability, and limited cross-sector data sharing. Based on these findings, the study proposes an emerging model of AI-driven integration in which teaching management functions as a central coordinating mechanism linking institutional governance and industry needs.This research provides practical implications for enhancing teaching management systems in application-oriented universities and offers a conceptual basis for understanding the evolving role of AI in industry-education integration.
References
[1] Ministry of Education of the People's Republic of China. (2026). Action plan for "Artificial Intelligence + Education".
[2] Gu, Y. A. (2020). Industry-education integration in application-oriented universities: Strategic significance, logical system, and promotion strategies. Research in Higher Education of Engineering, (4), 124–129.
[3] Liu, X. (2021). Multi-collaborative governance of industry-education integration in application-oriented undergraduate education: Logic, dilemmas, and pathways. Journal of National Academy of Education Administration, (6), 54–61.
[4] Qi, Z. Y., & Wang, S. Q. (2021). How can industry-education integration be deepened? From the perspective of institutional supply and demand. Journal of National Academy of Education Administration, (5), 78–85.
[5] Wang, Z. J., & Liu, Z. M. (2021). Industry-education integration: Connotation, value, and promotion pathways. Educational Research, 42(7).
[6] Chen, J., & Zhang, Y. J. (2023). Policy analysis of industry-education integration in China's higher education from the perspective of policy instruments. Heilongjiang Researches on Higher Education, 41(3), 64–71.
[7] Yuan, X. H., & Zhang, M. (2022). Analysis of the evolution characteristics and development trends of China's industry-education integration policy: Based on 104 policy texts from 2013–2021. China University Science & Technology, (10), 40–45.
[8] Chen, X. (2020). Research on the driving forces of industry-education integration in application-oriented universities. China Social Sciences Press.
[9] Pan, M. Y., & Zhou, Q. Y. (2019). From industry-university-research cooperation to industry-education integration: The path transformation of application-oriented talent cultivation in Chinese universities. Journal of Higher Education, 40(4), 1–6.
[10] Zhou, E. Y. (2020). Research on talent cultivation models and evaluation systems for high-level application-oriented undergraduate programs. Beijing Institute of Technology Press.
[11] Zawacki-Richter, O., Marín, V. I., Bond, M., & Gouverneur, F. (2019). Systematic review of research on artificial intelligence applications in higher education: Where are the educators? International Journal of Educational Technology in Higher Education, 16(1), Article 39.
[12] Guo, D. G., & Wang, X. Y. (2022). The dilemma and breakthrough of industry-education integration curriculum construction in application-oriented universities: A case analysis based on the new-generation information technology industry. Research in Higher Education of Engineering, (2), 115–121.
[13] Yin, R. K. (2018). Case study research and applications: Design and methods (6th ed.). Sage Publications.
[14] Ansell, C., & Gash, A. (2008). Collaborative governance in theory and practice. Journal of Public Administration Research and Theory, 18(4), 543–571.
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