Review Article

Personalized learning through AI: Pedagogical approaches and critical insights

Klarisa I. Vorobyeva 1 , Svetlana Belous 2 , Natalia V. Savchenko 3 , Lyudmila M. Smirnova 4 , Svetlana A. Nikitina 5 , Sergei P. Zhdanov 6 7 *
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1 Pacific National University, Khabarovsk, RUSSIA2 Peoples’ Friendship University of Russia (RUDN University), Moscow, RUSSIA3 Financial University under the Government of the Russian Federation, Moscow, RUSSIA4 I. M. Sechenov First Moscow State Medical University (Sechenov University), Moscow, RUSSIA5 Moscow State University of Civil Engineering, Moscow, RUSSIA6 Department of Philosophy, Political Science, Sociology named after G.S. Arefieva, National Research University «Moscow Power Engineering Institute», Moscow, RUSSIA7 Department of Customs Law and Organization of Customs Affairs, Russian University of Transport, Moscow, RUSSIA* Corresponding Author
Contemporary Educational Technology, 17(2), April 2025, ep574, https://doi.org/10.30935/cedtech/16108
Published Online: 10 March 2025, Published: 01 April 2025
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ABSTRACT

In this analysis, we review artificial intelligence (AI)-supported personalized learning (PL) systems, with an emphasis on pedagogical approaches and implementation challenges. We searched the Web of Science and Scopus databases. After the preliminary review, we examined 30 publications in detail. ChatGPT and machine learning technologies are among the most often utilized tools; studies show that general education and language learning account for the majority of AI applications in the field of education. Supported by particular learning approaches stressing student characteristics and expectations, the results show that automated feedback systems and adaptive content distribution define AI’s educational responsibilities mostly. The study notes major difficulties in three areas: technical constraints and data privacy concerns; educational and pragmatic barriers. Although curriculum integration and teacher preparation are considered major concerns, pedagogical challenges come first above technology integration. The results also underline the need for thorough professional development activities for teachers and AI tools for especially targeted instruction. The study shows that the efficient application of AI-enabled PL requires a comprehensive strategy addressing technological, pedagogical, and ethical issues all at once. These results help to describe the current state of AI in education and provide ideas for future developments as well as techniques for its use.
Keywords: artificial intelligence, personalized learning, adaptive learning, intelligent tutoring systems, ethics in AI education

CITATION (APA)

Vorobyeva, K. I., Belous, S., Savchenko, N. V., Smirnova, L. M., Nikitina, S. A., & Zhdanov, S. P. (2025). Personalized learning through AI: Pedagogical approaches and critical insights. Contemporary Educational Technology, 17(2), ep574. https://doi.org/10.30935/cedtech/16108

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