Chinese Administrators Perceptions of Artificial Intelligence-Enhanced Learning Management Systems in Smart Higher Education
Keywords:
Artificial Intelligence, Learning Management Systems, Smart EducationAbstract
The convergence of Artificial Intelligence (AI) and Learning Management Systems (LMS) is driving a profound transformation in higher education, fostering personalised learning, enhanced administrative efficiency, and smart campus environments. This paper reviews global research on LMS adoption and AI integration in Europe, China, and Australia, highlighting regional trends, user perceptions, and technological innovations. Drawing on studies of AI-enabled chatbots, intelligent assistants, and bibliometric analyses, the review identifies critical factors influencing technology acceptance, including perceived usefulness, confirmation, and attitude toward use. A conceptual framework grounded in the Technology Acceptance Model (TAM) is proposed to examine Chinese postgraduate administrators’ perceptions of AI and LMS adoption. The study’s methodology involves a survey of 16 Chinese master’s students studying educational administration at a Thai university, providing cross-cultural insights into future policy and implementation strategies.
References
Cabrera, B. C. C., Leal, M. C., Martínez, J. A. S. A., Soto, A. L. R., Sepulveda, J., Valencia, J., & Valencia-Arias, A. (2025). Artificial Intelligence (AI) and Learning Management Systems (LMS): A bibliometric analysis. Journal of Infrastructure, Policy and Development, 9(1), 8029.
Huang, J., & Duangekanong, S. (2022). Factors impacting the usage intention of learning management system in higher education. AU-GSB e-JOURNAL, 15(1), 41–51.
Musundire, A. (2025). Integrating chatbots into educational management systems in the global intuitions of higher learning: Streamlining administrative tasks. In Chatbots in educational leadership and management (pp. 53–72). IGI Global Scientific Publishing.
Sajja, R., Sermet, Y., Cikmaz, M., Cwiertny, D., & Demir, I. (2024). Artificial intelligence-enabled intelligent assistant for personalized and adaptive learning in higher education. Information, 15(10), 596.
Tian, W., Ge, J., Zhao, Y., & Zheng, X. (2024). AI chatbots in Chinese higher education: Adoption, perception, and influence among graduate students—An integrated analysis utilizing UTAUT and ECM models. Frontiers in Psychology, 15, 1268549.
Turnbull, D., Chugh, R., & Luck, J. (2021). Learning management systems: A review of the research methodology literature in Australia and China. International Journal of Research & Method in Education, 44(2), 164–178.
Wu, J. (2024). E-learning management systems in higher education: Features of the application at a Chinese vs. European university. Journal of the Knowledge Economy, 1–31.
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2026 Rajamangala University of Technology Krungthep

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