AI-Empowered education: a systematic review of applied tools
https://doi.org/10.20310/1810-0201-2026-31-1-122-137
EDN: TDEXVK
Abstract
Introduction. The systematic application of AI-powered tools in teaching and learning comes after their initially spontaneous and random testing. The growing capabilities of generative AI, coupled with the rapidly expanding AI services market, raise the question of its role in education. At the same time, it stimulates us to reconsider the interaction between the main participants of the educational process, namely teachers and students. This paper aims to determine the role of AI in education, categorizing the types of used AI services and their functional features.
Materials and Methods. We analyzed the application of AI technology in education by continuously sampling practical cases from China, Singapore, the United States, Russia, the European Union and the United Kingdom, which were available on educational organizations’ internet resources. Additionally, a qualitative analysis (content analysis) was conducted on official reports, case studies and practical recommendations dedicated to the use of AI tools in teacher and student activities. The research employs the technology integration framework developed by Ruben Puentedura.
Results and Discussion. The analysis yields insights into the functional areas of the AI tools at schools and universities, including lesson preparation, creation of educational content and assessment tools, support during lessons, educational analytics-based monitoring, course administration, and self-education support. Depending on its function, the AI is positioned as an assistant, classmate, tutor, coach, mentor or educational navigator. There is an educational trend towards the formation of integrated AI learning systems on an institutional level, e.g. ecosystems and e-campuses.
Conclusion. The categorization of AI tools implemented in educational practice demonstrates the wide range of applications available. However, AI still serves as a tool that replaces or complements routine learning and teaching operations within conventional education frameworks and enriches participants with deeper learning analytics.
About the Authors
D. P. AnaninRussian Federation
Denis P. Ananin, Cand. Sci. (Education), Leading Specialist of the Strategic Development Department
RSCI AuthorID: 576165 ResearcherID: AAL-8274-2020 Scopus Author ID: 57812370400
1 bldg, 4 2nd Selskohoziajstvenny Dr., Moscow, 129226, Russian Federation
A. Yu. Suvirova
Russian Federation
Anastasia Yu. Suvirova, Cand. Sci. (Education), Associate Professor of Pedagogical Technologies of Continuing Education Department, Institute of Continuing Education
RSCI AuthorID: 801286 ResearcherID: AGU-1345-2022
1 bldg, 4 2nd Selskohoziajstvenny Dr., Moscow, 129226, Russian Federation
N. N. Sheveleva
Russian Federation
Nataliya N. Shevelyeva, Cand. Sci. (Education), Head of Pedagogical Technologies of Continuing Education Department, Institute of Continuing Education
RSCI AuthorID: 729818
1 bldg, 4 2nd Selskohoziajstvenny Dr., Moscow, 129226, Russian Federation
S. M. Lesin
Russian Federation
Sergey M. Lesin, Cand. Sci. (Education), Associate Professor of Pedagogical Technologies of Continuing Education Department, Institute of Continuing Education
RSCI AuthorID: 797393 ResearcherID: D-4479-2019
1 bldg, 4 2nd Selskohoziajstvenny Dr., Moscow, 129226, Russian Federation
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Review
For citations:
Ananin D.P., Suvirova A.Yu., Sheveleva N.N., Lesin S.M. AI-Empowered education: a systematic review of applied tools. Tambov University Review. Series: Humanities. 2026;31(1):122-137. (In Russ.) https://doi.org/10.20310/1810-0201-2026-31-1-122-137. EDN: TDEXVK
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