Abstract

The development of modern technologies, including artificial intelligence (AI), currently has a significant impact on higher education and students studying at HEIs (Higher Education Institutions). The aim of the study presented in this article was to examine patterns of AI tool usage and students’ perceptions of their role in the educational process among students from Poland and Ukraine. An exploratory study was conducted on a sample of 108 students, including 54 from each of the analyzed countries. To identify relationships between selected variables, Spearman’s rank correlation and Pearson’s chi-square tests were applied based on survey data. The results revealed significant relationships between the analyzed variables and provide a basis for further comparative research on the use of AI in higher education.

Recommended Citation

Pawłyszyn, I. & Skitsko, V.(2026). Attitudes and Usage Patterns of Artificial Intelligence in Higher Education: A Cross-Cultural Study of Polish and Ukrainian Students. In M. Valenta, B. Mannová, R. Pergl, A. Przybylek, M. Lang, H. Linger, C. Schneider, N. Iivari, & E. Insfran (Eds.), Making ISD Sustainable: Reloaded with AI and Automation (ISD2026 Proceedings). Prague, Czech Republic: Czech Technical University in Prague. ISBN: 978-80-01-07585-2. https://doi.org/10.62036/ISD.2026.167

Paper Type

Full Paper

DOI

10.62036/ISD.2026.167

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Attitudes and Usage Patterns of Artificial Intelligence in Higher Education: A Cross-Cultural Study of Polish and Ukrainian Students

The development of modern technologies, including artificial intelligence (AI), currently has a significant impact on higher education and students studying at HEIs (Higher Education Institutions). The aim of the study presented in this article was to examine patterns of AI tool usage and students’ perceptions of their role in the educational process among students from Poland and Ukraine. An exploratory study was conducted on a sample of 108 students, including 54 from each of the analyzed countries. To identify relationships between selected variables, Spearman’s rank correlation and Pearson’s chi-square tests were applied based on survey data. The results revealed significant relationships between the analyzed variables and provide a basis for further comparative research on the use of AI in higher education.