A model of language and methodological pre-service teachers’ training based on artificial intelligence technologies
Authors: Evstigneev M. N. 
Published: November 2024

Importance. Existing empirical research in the field of integration of artificial intelligence technology in foreign language teaching is devoted to the use of specific technology in teaching types of speech activity, mainly writing. The authors note the wide methodological potential of artificial intelligence technologies in foreign language teaching and use chatbots, voice assistants, intelligent learning systems, corpus technologies to form the foreign language communicative competence of students. However, the analysis of a number of studies has allowed us to conclude that so far the authors have not attempted to design a unified model of language and methodological preservice teachers’ training based on artificial intelligence technologies. The purpose of this work is to design a model of language and methodological pre-service teachers’ training based on artificial intelligence technologies.

Research Methods. The present study is related to the study of the context of the integration of artificial intelligence technologies into language education. To achieve the set research goal, theoretical methods were used: the study and analysis of scientific and methodological works on thedesign of methodological models of teaching a foreign language using modern technologies; empirical methods: survey, observation and description of research results; modeling methods.

Definition of Concepts. The main concepts in this work are “the model of language and methodological pre-service teachers’ training” and “the competence of a pre-service foreign language teacher in the field of using artificial intelligence technologies”.

Results and Discussion. Structurally, the model of language and methodological pre-service teachers’ training based on artificial intelligence technologies is represented by the following components: prerequisites (determining the relevance of designing a learning model), a goalsetting block (setting goals and objectives for developing teaching methods), a theoretical block (determining the theoretical and methodological basis of research), a technological block (determining strategies and teaching methods, selection of the learning content, identification of organizational and pedagogical learning conditions, the choice of optimal organizational forms of learning, the definition of pedagogical tools), the evaluation and performance block (the development of a criterion-based assessment apparatus and the forecast of expected learning outcomes).

Conclusion. At this stage, the proposed model reflects the essence of the development of AI technologies and their applicability in a foreign language teaching. The separation of artificial intelligence from a means of learning into a separate subject of the educational process indicates that there is a paradigm shift in the use of new technologies in learning. AI technologies are able to provide high-quality feedback, create additional conditions for language practice, take on daily routine tasks and automate them, thereby shaping the ability of students to engage in their education and self-education throughout their lives. The obtained research results are recommended to be used in the methodology of teaching a foreign language, as well as in the development of private methods of teaching a foreign language using AI technologies.