SOCIO-HUMANITARIAN ASSESSMENT OF THE POSSIBILITIES AND RISKS OF APPLYING ARTIFICIAL INTELLIGENCE TECHNOLOGY IN HIGHER EDUCATION
Author(s): Rakhmeeva I.I., Kleymenov M.V., Popkova S.V.
Rubric: Educational environment
DOI: 10.21777/2500-2112-2026-1-14-27
Release: 2026-1 (54)
Pages: 14-27
Keywords: artificial intelligence, neural networks, large language models, digitalization of education, higher education, sociological survey, students and teachers
Annotation: The article analyzes the opportunities and risks of using artificial intelligence (AI) technologies in higher educa- tion. The relevance of the article stems from the difference in cognitive and technological positions regarding AI between teachers and students. For instance, students master digital tools faster, while teachers are more cautious and critical. The results of a sociological survey of students and teachers at the Ural State University of Economics served as the empirical basis of the study. A comparative analysis of the perception and practice of using AI was conducted between two key groups in the educational process: students and teachers. The study identified differences in the purposes for using AI and the readiness to integrate it into the educational process. The study reveals a societal demand for the institutionalization of AI competencies in higher education. The ar- ticle substantiates the need to modernize educational programs, taking into account the growing role of artificial intelligence, and emphasizes the importance of critically assessing the advantages and risks of neural networks for students’ effective knowledge acquisition. The results obtained expand the empirical base of research on the digital transformation of education and can be used in the development of university educational policies.
Bibliography: Rakhmeeva I.I., Kleymenov M.V., Popkova S.V. SOCIO-HUMANITARIAN ASSESSMENT OF THE POSSIBILITIES AND RISKS OF APPLYING ARTIFICIAL INTELLIGENCE TECHNOLOGY IN HIGHER EDUCATION // Education Resources and Technologies. – 2026. – № 1 (54). – С. 14-27. doi: 10.21777/2500-2112-2026-1-14-27