Artificial intelligence in education: current state and development prospects

This article examines the key areas of application of artificial intelligence (AI) in education. Based on the analysis of scientific papers, the main directions of using AI in the field of education are identified. Despite the growing interest in the application of AI in education, there remains a limited understanding of its potential impact on the learning process and the management of educational institutions. This, in turn, creates a necessity for analyzing the prospects of AI application in education as a whole. Particular attention is given to personalized learning systems capable of adapting the educational process to the individual needs of students. The possibilities of intelligent assessment systems and their effectiveness in automated verification of various types of tasks are considered. The role of AI in optimizing administrative processes within educational institutions is also analyzed. Furthermore, the influence of AI technologies on the transformation of the teacher’s role and the necessity for developing AI competencies among all participants in the educational process are explored. Key challenges to the implementation of AI in education are identified, including technical limitations, data privacy concerns, and the insufficient level of AI literacy among educators. It emphasizes the need for a balanced approach to integrating AI into education while maintaining the leading role of humans in the educational process, as well as the importance of developing AI competencies among all its participants.