THEORETICAL AND CONCEPTUAL FOUNDATIONS FOR INTEGRATING ARTIFICIAL INTELLIGENCE IN HIGHER EDUCATION
Received: 2026-07-13 11:55:25
Published: 2026-04-18
Abstract
This article examines the theoretical and conceptual foundations necessary for integrating artificial intelligence (AI) technologies into higher education. As AI continues to transform the field of education, understanding the core theoretical constructs is critically important for effective implementation. This study explores the key pedagogical theories, learning processes, and systematic approaches that support the integration of artificial intelligence in a university environment. The research identifies critical factors influencing the successful adoption of artificial intelligence, including constructivist learning theory, adaptive learning models, and institutional readiness methods. The results indicate that a comprehensive theoretical foundation combining educational psychology, technology acceptance models, and organizational change theory is essential for sustainable AI integration in higher education institutions.
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List of references
-
Baker, R. S., & Inventado, P. S. (2014). Educational data mining and learning analytics. In J. A. Larusson and B. White (eds.), Learning analytics: From research to practice (pp. 61–75). Springer.
-
Davis, F. D. (1989). Usability, usability, and user acceptance of information technology. MIS Quarterly, 13(3), 319–340.
-
Holmes, W., Bialik, M., & Fadel, C. (2019). Artificial intelligence in education: Promises and implications for teaching and learning. Center for Curriculum Redesign.
-
Kotter, J. P. (1996). Managing change. Harvard Business School Press.
-
Luckin, R., Holmes, W., Griffiths, M., & Forcier, L. B. (2016). Intelligence Unleashed: The Case for Artificial Intelligence in Education. Pearson Education.
-
Paiz, J. M., Toncelli, R., & Kostka, I. (2025). Artificial Intelligence, Real Learning: A Guide to Artificial Intelligence in ELT. University of Michigan Press.
-
Piaget, J. (1952). The Origins of Intelligence in Children. International University Press.
-
Rogers, E. M. (2003). The Diffusion of Innovations (5th ed.). Free Press.
-
Saydazimova, I., & Saydazimova, O. (2025). Teachers’ Perspectives and Agency in Implementing Artificial Intelligence: The Case of Uzbekistan. Technology in Language Teaching and Learning, 7(4), 102980. https://doi.org/10.29140/tltl.v7n4.102980
-
Selvin, N. (2019). Should Robots Replace Teachers? AI and the Future of Education. Polity Press.
-
VanLehn, K. (2011). The Relative Effectiveness of Human Tutoring, Intelligent Tutoring Systems, and Other Tutoring Systems. Educational Psychologist, 46(4), 197-221.
-
Vygotsky, L. S. (1978). Mind in Society: The Development of Higher Psychological Processes. Harvard University Press.
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