The use of artificial intelligence technologies in foreign language teaching: the subject of methodological works for 2023 and prospects for further research

Abstract

Importance. The rapid spread of artificial intelligence (AI) technologies and the use of AI tools in education have stimulated the emergence of a large body of scientific and methodological works devoted to methods of foreign language teaching based on AI. At the same time, most of the publications are not distinguished by obvious scientific novelty or practical value. The purpose of the research is to analyze and classify scientific articles on methods of foreign languages teaching, published in Russian highly rated scientific publications in 2023, to highlight the main subjects of the works of scientists and to identify methodological gaps and prospects for further methodological research.Materials and Methods. The research is conducted on the basis of scientific articles on methods of foreign languages teaching, published in scientific journals listed by the Higher Attestation Commission of the Russian Federation (K1, K2) for 2023. The research is based on an expert approach, which allows, through analysis of the corpus of scientific publications, to summarize the data obtained, highlight existing patterns, put forward hypotheses regarding the prospects for further research in the chosen area, and also identify a range of issues that have not been resolved. Within the framework of this approach, the following theoretical research methods are used: analysis of scientific publications, classification and summarization of data.Results and Discussion. In the course of the research, the main subjects of scientific and methodological work on methods of foreign language teaching based on AI are determined: a) vectors of using artificial intelligence in education; b) chatbots and voice assistants in teaching foreign language verbal communication; c) corpus technologies of artificial intelligence in the formation of students’ lexical and grammatical skills and research work; d) automation of the process of monitoring the development of foreign language speech skills and the formation of students’ language skills; e) the use of neural networks in foreign language teaching; f) the use of neural networks in research work; g) requirements for the competence of a foreign language teacher in the field of artificial intelligence; h) requirements for the competence of students in the context of the integration of artificial intelligence into education.Conclusion. The author included the following issues of foreign language teaching based on artificial intelligence technologies as research prospects: a) methodology for foreign language teaching based on AI; b) linguodidactic potential of existing and emerging AI tools; c) types of feedback from generative artificial intelligence; d) types of intelligent learning systems and their capabilities; e) teaching according to an individual trajectory; f) risks and threats arising in the process of integrating artificial intelligence into education; g) competence of a foreign language teacher in the field of artificial intelligence.