PEDAGOGICAL APPROACHES TO THE USE OF ARTIFICIAL INTELLIGENCE IN THE EDUCATIONAL PROCESS OF THE UNIVERSITY

Abstract

The article is devoted to the analysis of modern pedagogical approaches to the use of artificial intelligence (AI) in the educational process of higher education institutions. The author considers a wide range of issues related to the integration of AI into university practice: from personalized learning and predictive analysis of academic data to the development of adaptive educational environments and interactive technologies. Particular attention is paid to the prospects for the development of AI technologies and their impact on increasing motivation, cognitive activity and the effectiveness of students’ learning. Along with the positive aspects, the main barriers and risks are considered: technical and financial complexity of implementation, ensuring data confidentiality and equal access to innovative tools. Ways to overcome these problems through strategic planning, methodological training of teachers and the development of regulatory legal acts governing the use of AI are proposed. As a result, the article provides a comprehensive view of the opportunities and challenges facing modern education in the context of the rapid development of artificial intelligence technologies.