Artificial Intelligence in Russian Higher Education: Current State and Development Prospects

The transformation of Russian higher education in the context of the implementation of artifi cial intelligence (AI) technologies is a subject of ongoing discourse, actively involving both academic researchers and practitioners. The present article, based on a desk analysis of open sources and expert interviews, addresses the strengths and weaknesses associated with the use of AI in Russian universities. It examines the primary trends in the adoption of relevant technologies, provides examples of AI solutions applied in the educational sector, and outlines prospects for further development along with emerging risks. In conclusion, the ethical and legal aspects of the implementation of AI innovations are discussed. The findings presented will be benefi cial for decision-making regarding the integration of AI technologies into the educational, research, and administrative processes of universities.

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Publication Details

Journal
University Management Practice and Analysis
Published
2024-12-04
DOI
https://doi.org/10.15826/umpa.2024.03.023
Citations
7
Primary Topic
Engineering Education and Technology
Type
article
Field-Weighted Citation Impact
5.45

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article

Artificial Intelligence in Russian Higher Education: Current State and Development Prospects

Н. В. Адемукова, Sergey Davydov, Nataliya Matveeva, A. A. Vechkanova
7 citations
University Management Practice and Analysis
Engineering Education and Technology
5.45
article

Artificial Intelligence in Russian Higher Education: Current State and Development Prospects

Н. В. Адемукова, Sergey Davydov, Nataliya Matveeva, A. A. Vechkanova
article en
7 citations

Abstract

The transformation of Russian higher education in the context of the implementation of artifi cial intelligence (AI) technologies is a subject of ongoing discourse, actively involving both academic researchers and practitioners. The present article, based on a desk analysis of open sources and expert interviews, addresses the strengths and weaknesses associated with the use of AI in Russian universities. It examines the primary trends in the adoption of relevant technologies, provides examples of AI solutions applied in the educational sector, and outlines prospects for further development along with emerging risks. In conclusion, the ethical and legal aspects of the implementation of AI innovations are discussed. The findings presented will be benefi cial for decision-making regarding the integration of AI technologies into the educational, research, and administrative processes of universities.

University Management Practice and AnalysisVol. 28(3)
National Research University Higher School of Economics (RU)
National Research University Higher School of Economics
Openalex Percentile: Top 4%
Engineering Education and Technology
5.45
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Artificial Intelligence in Russian Higher Education: Current State and Development Prospects — Н. В. Адемукова, Sergey Davydov, et al. · University Management Practice and Analysis (2024) | TGRS Research Map | TGRS