THE USE OF ARTIFICIAL INTELLIGENCE IN THE STUDY PROCESS AS A DETERMINANT OF THE EDUCATION PROCESS IN AN AGILE UNIVERSITY.

Purpose: The aim of the article is to examine the use of artificial intelligence (AI) in the study process and to assess how it affects the effectiveness of education in the context of agile universities. The key features of an agile university are presented and the ways in which AI technologies support the educational process are discussed. Design/methodology/approach: The research was conducted using a survey method on a sample of 450 students from various universities. Respondents answered questions about the use of AI tools in the learning process, such as translating complex issues, preparing reports, identifying errors, generating new ideas, and creating tests and questions. Findings: (mandatory) Studies have shown that students most often use AI to explain complex issues and generate new ideas. AI tools are also useful in identifying and correcting errors and creating abbreviations and summaries of long texts. AI tools have proven to be less effective in preparing reports and creating tests. Research limitations/implications: Research limitations include the use of the online survey method, which may have reduced the diversity of respondents and limited sample representativeness. Further research could extend the analysis to other forms of education and greater demographic diversity among students. Practical implications: The results of the research can be useful for universities that want to integrate AI technologies into their curricula. They can help identify the most effective applications of AI in education and develop strategies for implementing agile teaching methods. Social implications: The use of AI in education can contribute to improving the quality of education and better preparing students for the requirements of the modern labor market. AI technologies can also support the development of soft skills, such as creativity and problemsolving skills. Originality/value: The article provides a new perspective on the use of artificial intelligence in education, especially in the context of agile universities. It provides practical recommendations for educational institutions and emphasizes the importance of adaptive technologies in the education process. [ABSTRACT FROM AUTHOR]