- Лук’янова, Лариса Борисівна (orcid.org/0000-0002-0982-6162), Котун, К.В. (orcid.org/0000-0002-3661-6689) and Годлевська, К.В. (orcid.org/0000-0002-9263-243X) (2025) Students’ and teachers’ attitudes towards the use of artificial intelligence in higher education institutions: problems and prospects Information Technologies and Learning Tools, 6 (110). pp. 182-204. ISSN 2076-8184
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Abstract
The article presents a comprehensive analysis and review of foreign and domestic research on the implementation of artificial intelligence in education. The key areas of scientific research on the use of artificial intelligence in the education system are identified. The article reviews publications highlighting the implementation of AI in various spheres and fields of science and education, containing investigations in the sphere of theoretical approaches to the trends of AI implementation in the educational process. Special attention is paid to the results of the author's study on the attitude of teachers and students of higher education institutions to the use of AI in the educational process. The respondents’ views on the advantages, risks and prospects of such technologies are revealed, in particular in the context of data confidentiality, transformation of the teacher's role, impact on pedagogical interaction and the potential of AI to increase learning efficiency. In general, 66.2% of teachers expressed a positive attitude towards the use of AI in the educational process. However, teachers and students are also concerned about the issue of reducing the role of the teacher in the educational process due to the active implementation of AI. Methods of mathematical statistics were used to analyse the results, in particular, Pearson's χ²-test and Mann–Whitney U-criterion. A comparative analysis of the responses from students and teachers, as well as the responses generated by AI algorithms to the same questions, is presented. This analysis enables the identification of common trends and differences in the perception of innovations. The results emphasise the need for updating educational programs, further professional development of teachers, and the implementation of personalised learning strategies. The importance of further research for a deeper understanding of the impact of AI on modern education is noted. The study's scientific novelty lies in the innovative application of online survey methods directed at students and teachers. This approach aims to identify the problems and challenges associated with the use of artificial intelligence in education. Based on the findings, recommendations for improvement are developed.
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