ARTIFICIAL INTELLIGENCE IN THE EDUCATIONAL PROCESS

Abstract

Relevance of the topic. The need to examine various ways of applying artificial intelligence in the educational process of training highly qualified personnel at universities is driven not only by the opportunities available to educational institutions in the educational services market, but also by the factors that enable the development of a personalized trajectory for specialist training. Objective. Of interest is the study of ways of applying artificial intelligence in the educational process, both in terms of supporting students and teachers, as well as the effectiveness of the educational process itself at the university. Methodology. The study utilizes content analysis methods of works published in scientific journals, as well as classification and graphical modeling methods. Results and Conclusions. The article explores the use of artificial intelligence methods to organize the student learning process at a university (creating and delivering content, automating routine processes, performing research and intelligent analysis of educational data), as well as supporting faculty in preparing and implementing the educational process. This approach also enables students to personalize learning, develop future skills, and address special educational needs. Scope. The results obtained can be used in preparing and implementing the educational process at a university.