Application of artificial intelligence in higher education: problems and prospects

this scientific article is devoted to the study of the impact of artificial intelligence (AI) on the field of higher education, considering both potential advantages and emerging challenges. The paper analyzes the transformation of the educational process under the influence of AI, including changes in teaching methods, accessibility of education and its overall quality. Special attention is paid to the phenomenon of AI integration in Russian universities, and there is a change in public opinion regarding the use of neural networks in educational activities, from complete rejection to recognition, subject to ethical standards and a critical approach. The article examines the introduction of AI in the context of "Industry 4.0" and analyzes the relationship between the features of using AI and the individual characteristics of students. The role of gender factors and value orientations in the perception and application of AI is emphasized. The data on the positive impact of AI on academic ethics, the development of critical thinking and the improvement of students' competence are presented. The possibilities of personalized learning based on the analysis of data on students' academic performance and preferences, as well as automation of routine tasks to optimize the work of teachers are being explored. In conclusion, the importance of evaluating the effectiveness of educational technologies using AI and stimulating innovation in this field in the context of global technological competition is emphasized.

artificial intelligence, higher education, personalized learning, automation, ethics, digital literacy, inequality