Keyword: «foreign language teaching»

The relevance of studying the impact of artificial intelligence (AI) technologies on teaching foreign language to students of non-language departments is determined by the rapid development of modern AI technologies and the insufficient clarity regarding their influence on the effectiveness of education. The aim of this study is to assess the nature and boundaries of the influence of AI technologies on the effectiveness of foreign language teaching to students of non-language departments and to develop recommendations for their careful use. The study is based on methods of analysing scientific literature on the topic, systematization, content analysis, and data synthesis to develop recommendations for using AI in foreign language education. The research involves the systematization of theoretical aspects of AI use in foreign language teaching, identifying positive and negative factors influencing the effectiveness of teaching students who do not major in linguistics. It highlights that AI has significant and, in some cases, extensive potential for positive impact. The results of content analysis of publications on AI in education are described, revealing key trends and contradictions and identifying positive, negative, and neutral factors influencing foreign language education for non-language majoring students, which define the conceptual boundaries of its impact on educational effectiveness. Recommendations are proposed for the careful use of AI in foreign language teaching to students of non-language departments, aimed at enhancing the effectiveness of education and minimizing potential risks. The theoretical significance of the research lies in the systematization of issues related to the use of AI in foreign language education and assessing its impact on the effectiveness of teaching students of non-language departments. The practical significance lies in the potential application of the developed recommendations by foreign language teachers to improve the efficiency of teaching students of non-language departments with the use of AI technologies.

The relevance of researching the effectiveness of artificial intelligence (AI) technologies in foreign language learning for students of language majors is determined by the growing and intensifying integration of AI into the educational process, as well as the insufficient development of methodological foundations for its use. The aim of the study is to identify promising scenarios for integrating generative AI into the training of language-major students, considering the specifics of their education and the possible limitations of the technology. The research is based on methods of analyzing scientific literature, systematization, and data synthesis to develop recommendations for the application of AI in the education of language-major students. The study includes a review of modern approaches to the technologization of education, an analysis of digitalization trends, and the integration of AI in the training of Linguistics majors. Key opportunities and limitations of generative AI applications have been identified, including the automation of routine learning tasks, personalization, support for multilingual education, analysis of linguistic material, and its generation for educational purposes. Special attention is given to risks associated with AI dependence and misuse, particularly by students. The risks of potential errors in generated content and challenges in monitoring students' independent work using AI tools are also noted. Furthermore, a literature review revealed that students’ engagement with AI does not always have a positive impact on their readiness to apply acquired knowledge in practice. These challenges collectively necessitate a cautious and controlled implementation of AI in education. Recommendations have been formulated for the use of AI in training language-major students, aimed at balancing digital technologies with traditional teaching methods. The theoretical significance of the study lies in the systematization of approaches to AI application in language education and the assessment of its impact on the training of language-major students, considering the specifics of such preparation. The practical significance of the study consists in the development of methodological recommendations for educators, focused on the productive use of AI in the learning process while maintaining a high level of student training quality.