Perceptions of AI-Enhanced LMS in Smart Higher Education Administration
Keywords:
AI-enhanced LMS, higher education administration, perceptions, readiness, policy, ethicsAbstract
This study explores the perceptions of Chinese postgraduate administrators regarding the integration of artificial intelligence (AI) and Learning Management Systems (LMS) within higher education administrative functions. The research was conducted with participants enrolled in an educational administration programme in Thailand, offering a cross-cultural perspective on digital transformation in higher education. A structured questionnaire measured perceptions across domains such as policy and governance, resource allocation, training and support, data security and ethics, administrative efficiency, and institutional readiness. The results reveal widespread agreement on the necessity of institutional policies, sufficient resources, and ethical frameworks for effective AI-LMS adoption. High mean scores across these domains indicate a strong conceptual endorsement of the potential benefits of AI-driven administrative systems. However, readiness scores were significantly lower, highlighting uncertainty about current institutional capacity to implement these technologies in practice. This contrast suggests a clear gap between perceived importance and actual preparedness for integration. The findings contribute to ongoing discussions about AI in education by emphasising the need for coordinated strategies that align policy, training, and ethical considerations with institutional capabilities. These insights can guide policymakers and educational leaders seeking to implement AI-enhanced administrative practices that are both effective and ethically grounded.
References
Arockia, V. J., Vettriselvan, R., Rajesh, D., Velmurugan, P. R. R., & Cheelo, C. (2025). Leveraging AI and learning analytics for enhanced distance learning: Transformation in education. In AI and learning analytics in distance learning (pp. 179–206). IGI Global Scientific Publishing.
Awashreh, R. (2025). Be aware: Navigating challenges in AI-driven higher education. International Journal of Interdisciplinary Educational Studies, 20(1).
Baig, M. I., & Yadegaridehkordi, E. (2025). Factors influencing academic staff satisfaction and continuous usage of generative artificial intelligence (GenAI) in higher education. International Journal of Educational Technology in Higher Education, 22(1), 5.
Catherin, T. C., Vettriselvan, R., Mathur, S., Regins, J. C., & Velmurugan, P. R. R. (2025). Integrating AI and learning analytics in distance learning: Strategies for educators and institutions. In AI and learning analytics in distance learning (pp. 207–228). IGI Global Scientific Publishing.
Das, S., Mutsuddi, I., & Ray, N. (2025). Artificial intelligence in adaptive education: A transformative approach. In Advancing adaptive education: Technological innovations for disability support (pp. 21–50). IGI Global Scientific Publishing.
Filiz, O., Kaya, M. H., & Adiguzel, T. (2025). Teachers and AI: Understanding the factors influencing AI integration in K-12 education. Education and Information Technologies, 1–37.
Mexhuani, B. (2025). Adopting digital tools in higher education: Opportunities, challenges and theoretical insights. European Journal of Education, 60(1), e12819.
Msambwa, M. M., Wen, Z., & Daniel, K. (2025). The impact of AI on the personal and collaborative learning environments in higher education. European Journal of Education, 60(1), e12909.
Sajja, R., Sermet, Y., & Demir, I. (2025). End-to-end deployment of the educational AI hub for personalized learning and engagement: A case study on environmental science education. IEEE Access.
Venice, J. A., Vettriselvan, R., Rajesh, D., Suresh, N. V., & Abirami, P. (2025). Enabling personalized learning and adaptive systems through strategic management: Cloud integration in education. In Bridging academia and industry through cloud integration in education (pp. 49–72). IGI Global Scientific Publishing.
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