AI-based adaptive systems and personalized learning: The moderating role of Artificial Intelligence on university student engagement

Authors

DOI:

https://doi.org/10.46502/issn.1856-7576/2026.20.02.17

Keywords:

personalized learning, digital learning environment, student interaction, artificial intelligence, adaptive learning systems

Abstract

The study aimed to determine the impact of adaptive personalized learning systems based on AI technologies on the indicators of student interaction with the digital educational environment. The study was implemented on the basis of a quantitative approach with the participation of 198 students of higher education institutions. Data collection was carried out using a structured questionnaire. Descriptive statistics, correlation and regression analysis, as well as one-way analysis of variance, were used for analysis. The results indicated that the overall level of student interaction was above average (M = 3.87, SD = 0.64). It was found that personalization (β = 0.42, p < 0.001) and AI functionality (β = 0.36, p < 0.001) became significant predictors of interaction. In addition, a significant interaction effect was found (β = 0.21, p < 0.01), which indicated an increase in the impact of personalization under conditions of high levels of AI integration. The results of ANOVA indicated the presence of differences between groups with different levels of AI use (F = 24.67, p < 0.001). Therefore, the novelty of the study was to identify the moderating role of AI in enhancing the effect of personalized learning.

Author Biographies

Tetiana Mazurok, K.D. Ushynsky South Ukrainian National Pedagogical University, Odesa, Ukraine.

Professor, Head of the Deparnment of Applied Mathematics and Informatics, The Educational and Scientific Inststute of Natural and Mathematical Sciences, Informatics and Management South Ukrainian National Pedagogical University named after K.D. Ushynsky, Odesa, Ukraine.   

Roman Gakh, West Ukrainian National University, Ternopil, Ukraine. 

Associate professor, Department of Physical Rehabilitation and Sports, West Ukrainian National University, Ternopil, Ukraine. 

Kateryna Oleksandrenko, Khmelnytskyi National University, Khmelnytskyi, Ukraine. 

Professor, Head of Department of Foreign Languages, Khmelnytskyi National University, Khmelnytskyi, Ukraine. 

Tetiana Nikolaieva, Kyiv National University of Culture and Arts, Kyiv, Ukraine. 

Associate Professor, Department of Information Activity and Public Relations , Kyiv National University of Culture and Arts, Kyiv, Ukraine. 

Anzhelika Solodka, Admiral Makarov National University of Shipbuilding, Mykolaiv, Ukraine. 

Professor, Department of Translation, Admiral Makarov National University of Shipbuilding, Mykolaiv, Ukraine. 

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Published

2026-06-30

How to Cite

Mazurok, T., Gakh, R., Oleksandrenko, K., Nikolaieva, T., & Solodka, A. (2026). AI-based adaptive systems and personalized learning: The moderating role of Artificial Intelligence on university student engagement. Eduweb, 20(2), 288–307. https://doi.org/10.46502/issn.1856-7576/2026.20.02.17

Issue

Vol. 20 No. 2 (2026)

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Articles

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Copyright (c) 2026 Tetiana Mazurok, Roman Gakh, Kateryna Oleksandrenko, Tetiana Nikolaieva, Anzhelika Solodka

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This work is licensed under a Creative Commons Attribution 4.0 International License.

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