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Using Digital Technologies in the Framework of Communicative Aspect Teaching a Foreign Language

https://doi.org/10.26907/2658-3321.2025.8.2.153-165

Abstract

The article considers the possibility of using artificial intelligence, in particular ChatGPT, in the practice of teaching foreign languages. The effectiveness of such language models as additional tools for the formation of language skills and abilities in the process of communicative aspect teaching of foreign students is substantiated, contributing to increased motivation, personali- zation of learning, and saving of study time. Using the example of studying German in a Turkmen audience, certain types of work are presented within the framework of the lexical and grammatical aspects using ChatGPT: posing a general question on the topic, expanding vocabulary, familiarizing with grammatical constructions, building a dialogue, creating a mental map, etc. The leading role of the teacher (support, correction) in the “teacher – learner” pair is particularly emphasized. Based on the existing experience of using AI in the practice of teaching languages, the pros and cons of this type of activity are highlighted: on the one hand, simultaneous work with a foreign language (Ger- man) and the native language (Turkmen), explanation of linguistic facts with examples, on the other hand, the lack of absolute accuracy when translating from the native language into German lan- guage and vice versa, staticity. Directions for further study of the possibilities of using AI models in the process of language teaching are proposed.

About the Authors

N. L. Shamne
Volgograd State University
Russian Federation

Shamne Nikolay Leonidovich – Professor

Volgograd



M. V. Milovanova
Volgograd State University
Russian Federation

Milovanova Marina Vasilievna – Professor

Volgograd



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For citations:


Shamne N.L., Milovanova M.V. Using Digital Technologies in the Framework of Communicative Aspect Teaching a Foreign Language. Kazan linguistic journal. 2025;8(2):153-165. (In Russ.) https://doi.org/10.26907/2658-3321.2025.8.2.153-165

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ISSN 2658-3321 (Print)