МЕНЕДЖМЕНТ СИСТЕМИ УНІВЕРСИТЕТСЬКОЇ ОСВІТИ: ІНТЕГРАЦІЯ ІНСТРУМЕНТІВ ШТУЧНОГО ІНТЕЛЕКТУ ТА ЕТИЧНА ГРАМОТНІСТЬ В УКРАЇНІ

Abstract

Formulation of the problem. In the modern conditions of globalization, innovative technologies are an integral part of a person's everyday life, contributing to the educational community's rethinking of the value-meaning boundaries of the existing domestic university education and its management, shifting traditional methods of teaching and learning to more modern ones - student-centered and personalized for the student of education. The purpose of the research is to study the trends in the application of artificial intelligence tools in the domestic modern approaches to university education, as well as to offer recommendations for ensuring the effective management of the education system in higher education institutions. The object of the research is the process of adapting the management system of Ukrainian university education to the ethical principles of European literacy. The methods of the research used in the research are general scientific methods, in particular, historical, dialectical, comparative, phenomenological, systemic analysis and the method of generalization. The hypothesis of the research is the assumption that the integration of AI technologies into the educational paradigm is a necessary requirement of modernity for the Europeanization of domestic education and the formation of an ethical management system. The statement of basic materials. In connection with the current changes in postmodern society, we can observe the mass introduction of AI technologies as a product of human activity, in particular, in the university education system, in the teaching and learning process, which provides an interactive approach, individualization of learning, adaptability, motivation to independence and self-realization of the learner education In this context, innovative teaching methods require a modern teacher to have scientific readiness, critical and logical thinking, the ability to actively involve the learner in the educational process, etc. The originality and practical significance of the research is determined by proposing measures for the effective implementation of a new philosophical understanding of the management system of university education and science in general. Conclusions and perspectives of further research. We believe that in the conditions of digitization of the educational space, further research will be relevant regarding a detailed review of the conceptual apparatus in the direction of the development of AI technologies, and also the issue of tracking the results of the students' success in the context of the use of modern methods of teaching and learning by teachers will become especially urgent.