Foreign language communicative competence of non-linguistic university graduates: Criteria, levels, and the didactic potential of artificial intelligence technologies
https://doi.org/10.32517/0234-0453-2026-41-3-99-106
Abstract
The digital transformation of higher education and the rapid spread of artificial intelligence (AI) technologies make it urgent to provide a scientifically grounded description of the criteria and levels of development of foreign language communicative competence (FLCC) in graduates of non-linguistic universities. The aims of the study are to identify and substantively characterise the criteria and levels of FLCC development of students of non-linguistic programmes in line with the Common European Framework of Reference for Languages (CEFR) and to reveal the didactic potential of AI technologies for its formation. The materials comprised regulatory documents (the Federal State Educational Standard 3++, the Council of Europe document “Common European Framework of Reference for Languages: Learning, Teaching, Assessment”, letter of the Ministry of Education of Russia of 04.12.2019 No. 04-1375), the results of Russian and international research, and the authors’ long-term teaching experience; the methods of analysis, synthesis, comparison, and modelling were applied. It is established that the content of FLCC is formed by three qualitatively distinct competencies — linguistic, speech, and sociocultural — regarded as criteria of its development; their components and measurable indicators are described. Three levels of FLCC development (Elementary — A1–A2, Intermediate — B1–B2, Advanced — C1–C2) are identified and mapped onto the CEFR scale; it is shown that B1–B2 are the target levels for bachelor’s and specialist programmes, and B2–C1 for master’s programmes. The didactic potential of AI technologies (adaptive platforms, conversational chatbots, generative language models) is systematised with respect to the formation of each FLCC component and the implementation of individual learning trajectories. The results make it possible to unify the content, objectives, and monitoring of foreign language training at a non-linguistic university.
About the Authors
Yu. V. ZabaikinRussian Federation
Yuriy V. Zabaikin, Candidate of Sciences (Economics), Docent, Associate Professor at the Department of Automation of Technological Processes, Faculty of Automation and Computer Engineering
Moscow
A. T. Mukhametshin
Russian Federation
Alexander T. Mukhametshin, Candidate of Sciences (Education), Associate Professor at the Department of Pedagogy and Psychology
Moscow
I. V. Zabaikina
Russian Federation
Irina V. Zabaikina, Senior Lecturer at the Department of Pedagogy and Psychology
Moscow
D. V. Lyutyagin
Russian Federation
Dmitry V. Lyutyagin, Candidate of Sciences (Economics), Associate Professor at the Department of Production and Finance Management, Faculty of Economics and Management; General Director
Moscow
D. A. Lunkin
Russian Federation
Dmitry A. Lunkin, Candidate of Sciences (Economics), Docent, Acting Head of the Department of Philosophy and Legislation, Faculty of Economics and Management
Moscow
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Review
For citations:
Zabaikin Yu.V., Mukhametshin A.T., Zabaikina I.V., Lyutyagin D.V., Lunkin D.A. Foreign language communicative competence of non-linguistic university graduates: Criteria, levels, and the didactic potential of artificial intelligence technologies. Informatics and education. 2026;41(3):99-106. (In Russ.) https://doi.org/10.32517/0234-0453-2026-41-3-99-106
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