THEORETICAL MODELS OF ARTIFICIAL INTELLIGENCE INTEGRATION IN HIGHER EDUCATION

Saichenko Olga A., Krasovskaya Inna P.

This article examines the theoretical and practical aspects of integrating artificial intelligence into higher education. It focuses on analyzing modern pedagogical paradigms (constructivism, connectivism, and personalized learning) in the context of the digital transformation of the educational process. The article analyzes the specifics of the implementation of AI technologies, taking into account the specifics of the andragogical approach. The mechanisms for the formation of hybrid pedagogical models that combine traditional and innovative teaching methods are explored. New functions of the teacher are identified in the context of the transformation of the educational paradigm. The article identifies key advantages of integrating artificial intelligence into the educational process, including the creation of an adaptive educational environment, expanded opportunities for the practical implementation of theoretical knowledge, and the development of new forms of interaction between educational participants. The article examines the significant risks of implementing AI in education: threats to information security, the danger of cognitive overload, issues of digital inequality, and the ethical aspects of using personal data. Suggestions for minimizing these risks are provided.

Keywords:artificial intelligence, higher education, andragogy, pedagogical paradigms, hybrid learning, digital transformation.