The Ecological Construction and Sustainable Development of University-Enterprise Cooperation in English Education in the Era of Artificial Intelligence

Authors

  • Ying Yang Guangzhou City Construction College, Digital Commerce Institute, Guangzhou, China Author

DOI:

https://doi.org/10.71222/6r17s587

Keywords:

artificial intelligence, english education, university-enterprise cooperation, educational ecology, sustainable development, higher education

Abstract

In the era of artificial intelligence (AI), English education is undergoing a profound transformation from traditional knowledge transmission to intelligent, interactive, and practice-oriented models. University–enterprise cooperation has become a key mechanism for aligning academic training with evolving industry demands, cultivating application-oriented talents, and promoting educational innovation. This study investigates the ecological construction and sustainable development of university–enterprise cooperation in AI-driven English education from a systems perspective. It first clarifies the theoretical correlations among AI, educational ecology, and sustainable development, emphasizing the dynamic balance between technological progress, institutional arrangements, and humanistic values. The paper then explores four core mechanisms of AI-driven cooperation: innovation in teaching models through intelligent platforms and data-driven feedback; integration of talent training with employment pathways; coordination of industrial structure with curriculum design; and co-creation of organizational culture and value systems between universities and enterprises. Based on an analysis of current practices, the study identifies major challenges, including uneven cooperation quality, insufficient depth of innovation, weak integration of resources, and an imbalance between technological empowerment and humanistic education. In response, four optimization paths are proposed: strengthening policy and institutional guarantees, deepening the integration of industry, education, and technology, enhancing talent cultivation and brand building, and promoting sustainable development with explicit humanistic protection. The findings provide a reference for constructing a resilient, open, and future-oriented cooperative ecosystem that supports educational modernization and industrial upgrading.

References

1. S. Huneberg, F. Khan, C. Lupton, T. E. Coleman, T. G. Kasuso, G. Manyatera, and A. E. Boniface, *The Business of Higher Institutional Education: Integrating Academic Freedom, Pedagogical Approaches and Constitutionalism*, p. 254, UJ Press, 2025.

2. P. C. Murrell Jr., "Toward social justice in urban education: A model of collaborative cultural inquiry in urban schools," Equity & Excellence in Education, vol. 39, no. 1, pp. 81-90, 2006.

3. E. R. Silliman and V. W. Berninger, "Cross-disciplinary dialogue about the nature of oral and written language problems in the context of developmental, academic, and phenotypic profiles," Topics in Language Disorders, vol. 31, no. 1, pp. 6-23, 2011.

4. O. Tuyboyov, B. Turdikulova, R. Davlatova, and S. Norov, "The role of AI-driven intelligent tutoring systems in enhancing mechanical engineering education," in AIP Conference Proceedings, vol. 3268, no. 1, p. 070038, AIP Publishing LLC, Feb. 2025.

5. D. K. Singh, R. Sharma, P. Kumar, I. Alam, K. S. Notte, and P. Arora, "The Intersection of AI and Additive Manufacturing: A Bibliometric Analysis of Research Trends," in *2024 8th International Conference on Computational System and Information Technology for Sustainable Solutions (CSITSS)*, pp. 1-5, IEEE, Nov. 2024.

6. W. G. Spady and K. J. Marshall, "Beyond Traditional Outcome-Based Education," Educational Leadership, vol. 49, no. 2, pp. 67-72, 1991.

7. M. Majewski and W. Kacalak, "Intelligent system for natural language processing," in International Conference on Intelligent Computing, pp. 742-747, Springer Berlin Heidelberg, Berlin, Heidelberg, Aug. 2006.

8. Z. Sun, M. Anbarasan, and D. J. C. I. Praveen Kumar, "Design of online intelligent English teaching platform based on artificial intelligence techniques," Computational Intelligence, vol. 37, no. 3, pp. 1166-1180, 2021.

9. N. W. B. S. Keerthiwansha, "Artificial intelligence education (AIEd) in English as a second language (ESL) classroom in Sri Lanka," Artificial Intelligence, vol. 6, no. 1, pp. 31-36, 2018.

10. M. Zhu, "Factors influencing analysis for level of engineering English education based on artificial intelligence technology," Mathematical Problems in Engineering, vol. 2022, no. 1, p. 4447209, 2022.

11. F. Li, "Changes in English Education Based on Artificial Intelligence and the Construction of a New Mode of International Communication," Mediterranean Archaeology & Archaeometry, vol. 25, no. 1, 2025.

12. M. Özdere, "The integration of artificial intelligence in English education: Opportunities and challenges," Language Education and Technology Journal, vol. 3, no. 2, 2023.

13. N. Y. Kim, Y. Cha, and H. S. Kim, "Future English learning: Chatbots and artificial intelligence," Multimedia-assisted Language Learning, vol. 22, no. 3, 2019.

Downloads

Published

11 April 2026

How to Cite

Yang, Y. (2026). The Ecological Construction and Sustainable Development of University-Enterprise Cooperation in English Education in the Era of Artificial Intelligence. Pinnacle Academic Press Proceedings Series, 10, 226-233. https://doi.org/10.71222/6r17s587