Artificial Intelligence in Higher Education: Scientific and Educational Convergence in the Polish-Ukrainian Context
Open accessAbstract
This article presents the results of theoretical research on the issue of AI usage in higher education, highlights the specifics of AI application in universities in Poland and Ukraine, and outlines the findings of an original empirical study involving 1,051 respondents (students and university faculty members from Poland and Ukraine). Special attention is given to analyzing the similarities and differences in AI perception across two culturally related but socially different educational systems. Statistical models were used to verify the results (χ²-test, cumulative logistic model, Mann–Whitney U test). The research results enrich the current academic discourse on the responsible implementation of AI in higher education and lay the groundwork for developing recommendations on education policy, institutional strategy, and improving the faculty and students’ digital competencies in both countries.
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Rights-aware educational research establishes the relevance of learner choice, academic values, legal literacy, and context-specific governance.
“Rights-aware educational research establishes the relevance of learner choice, academic values, legal literacy, and context-specific governance(Berendt et al., 2020;Lukianova et al., 2025;Memarian & Doleck, 2023;Oncioiu & Bularca, 2025;Panagopoulou et al., 2025;Temper et al., 2025).”
From Responsible AI in Polish Higher-Education Administration under the EU AI Act: High-Risk Use Cases, Fundamental-Rights Impact Assessment, and Institutional Accountability (2026) · cites this paper as Lukianova et al., 2025
The Conclusions (page not available) emphasize humanistic values, academic integrity, and educational policy at national and institutional levels; the Results distinguish the Polish and Ukrainian contexts. These support the academic-values and context-specific-governance parts of the claim. The paper discusses personalized learning, but does not establish the relevance of learner choice or legal literacy. (LLM, conf=0.86)
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Research works printed but not linked: 1
- Haleem, A., Javaid, M., Singh, R.P., Suman, R., & Vaishya, R. (2023). Understanding artificial intelligence and its future applications in healthcare: A study on the aware- ness and perception of AI among medical students. Journal of Family Medicine and Primary Care, 12(7), 1219-1224. https://www.ncbi.nlm.nih.gov/pmc/articles/ PMC10368304/.
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Semerikov, S. O., Стрюк, А. М., Pinchuk, O., Вакалюк, Т. А., Каневська, О. Б., & Остроушко, О. А. (2025) · Workshop on Cloud Technologies in Education (CTE) · doi:10.55056/ceur-ws.org/vol-4043/paper00.pdf
Zastosowanie narzędzi AI w praktyce akademickiej
Popović, M., & Błaszczyk, M. (2026) · Wydawnictwo Uniwersytetu Łódzkiego eBooks · doi:10.18778/8445-081-9
- Authors
- Lukianova, L., Symela, K., & Religa, J.
- Affiliations
- Łukasiewicz Research Network (PL)
- Łukasiewicz Research Network – Institute for Sustainable Technology, Centre for Vocational Education Research and Innovation Management, Poland
- Venue
- The New Educational Review
- Publisher
- Wydawnictwo Adam Marszalek
- Published
- 2025
- Volume
- 2025
- Issue
- Vol. 81
- Pages
- 182-200
- ISSN
- 1732-6729 (ISSN-L)
- OpenAlex
- W4416899526
- Cited by
- 2
- References
- 0
- Citations by year
- 2026: 1 · 2025: 1
- FWCI
- 2.06
- Type
- journal article
- Language
- en
- Open access
- diamond
- doi.org
- Licence
- cc-by-nc
- Locations
- The New Educational Review (publishedVersion, cc-by-nc)
- Topics
- Physical Sciences › Computer Science › Information Systems › Artificial Intelligence in Education
- Physical Sciences › Computer Science › Information Systems › Educational Innovations and Challenges
- Health Sciences › Medicine › Health Informatics › Artificial Intelligence in Healthcare and Education
- Keywords
- artificial intelligence in higher education, AI perception, responsible AI deployment, digital skills, university students, university faculty, Poland, Ukraine, comparative education, education policy
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