Analysis of the evolution of artificial intelligence as a key tool in digital education


Aliyeva G.B. Saktaganov B. Meljnyk K. Stepanets N. Vasiuta V.
27 February 2026International University of Sarajevo

Periodicals of Engineering and Natural Sciences
2026#14Issue 1123 - 140 pp.

The Ukrainian educational system has experience of the digital quicker uptake by two significant crises in the country that occurred in the year 2019-2025 as compared to the rest of the world. The study examines how AI and Generative AI GenAI) have been adopted and adapted within the Ukrainian educational context across multiple crisis phases between 2019 and 2025. A longitudinal mixed-methods was used for the study. A total of 200 university instructors in Ukrainian higher education was selected for survey while 20 participants was selected for interview using purposive sampling technique. Qualitative and quantitative data were collected using interviews and structured online questionnaires respectively. The result showed that AI tools in education increased steadily and significantly between 2019 and 2025. AI adoption factors changes from technical (4.32 ± 0.58) to contextual (4.32 ± 0.58) over time. There is a significant difference in AI/GenAI adoption and motivation across the crisiss phases (p < 0.05) with a partial η² value of 0.162 and 0.125 respectively. AI-LMS platforms, Adaptive Learning Systems and GenAI are the most adaptable to the Ukrainian context. The result showed that language barriers, infrastructure limitations, and resource availability were statistically significant challenges of AI adoption (p<0.0). The study concluded that there is an exponential growth in AI adoption and turning points, however crises and technological breakthroughs jointly redefined digital education. Policies and ethical frameworks of AI-use should be introduced to universities to steer students in the ethical use of AI and academic honesty.

Adaptability index , Digital transformation , Educational AI , Generative AI , Higher education , Longitudinal mixed-methods , Ukraine

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Azerbaijan State Marine Academy, Baku, Azerbaijan
Kazakh National Academy of Choreography, Astana, Kazakhstan
Department of English Language and Teaching Methods, Faculty of Foreign Languages, Vinnytsia Mykhailo Kotsiubynskyi State Pedagogical University, Vinnytsia, Ukraine
Department of Social and Humanitarian Disciplines, Institution of higher education “Lviv University of Business and Law”, Lviv, Ukraine
Department of Economics, Entrepreneurship and Marketing, Educational and Research Institute of Finance, Economy, Management and Law, National University «Yuri Kondratyuk Poltava Polytechnic», Poltava, Ukraine

Azerbaijan State Marine Academy
Kazakh National Academy of Choreography
Department of English Language and Teaching Methods
Department of Social and Humanitarian Disciplines
Department of Economics

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