USING ARTIFICIAL INTELLIGENCE TO DEVELOP LINGUISTIC AND CULTURAL COMPETENCE AT THE RUSSIAN AS A FOREIGN LANGUAGE LESSONS
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Author(s): | Muratov T. U., |
| Number of journal: | 2(75) | Date: | June 2026 |
| Annotation: | The article examines the problem of teaching non-equivalent vocabulary to Uzbek-speaking learners at the Russian as a foreign language (RFL) lessons at the elementary stage. The subject of the study is the didactic potential of working with lexical lacunae that reflect the national and cultural specificity of the Russian language. The aim of the research is to develop and substantiate a system of exercises focused on the semanticization and consolidation of non-equivalent vocabulary within an intercultural approach. The working hypothesis suggests that the integration of traditional linguodidactic methods with neural network technologies makes acquisition of vocabulary more effective. The methodological framework includes comparative analysis, the dialogue of cultures, associative methods, modeling of communicative situations, as well as elements of game-based learning. The study takes into account the possibilities of using generative neural network tools in the educational process. As a result, a set of exercises has been developed. The exercises are aimed at the gradual acquisition of non-equivalent vocabulary related to the thematic groups “House”, “Clothing” and “Fairy-tale characters”. The proposed forms of work enhance students’ cognitive activity, contribute to the development of oral and written speech skills, and foster intercultural competence. The practical significance of the study lies in the possibility of applying the proposed materials in RFL courses in schools with Uzbek as the language of study. The limitations of the research are connected with the scope of a single educational level and a specific textbook, “Russian Language” for Grade 5 (edited by E. A. Khamraeva). Prospects for further research include expanding the corpus of didactic materials and adapting them for other stages of learning. | ||
| Keywords: | linguistic and cultural competence, non-equivalent vocabulary, lexical lacunae, Russian as a foreign language, intercultural communication, teaching methods, neural network technologies, dialogue of cultures, game-based methods, Uzbek-speaking learners |
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| For citation: | Muratov T. U. Using artificial intelligence to develop linguistic and cultural competence at the Russian as a foreign language lessons. Biznes. Obrazovanie. Pravo = Business. Education. Law. 2026;2(75):554—561. DOI: 10.25683/ VOLBI.2026.75.1612. |
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