Motivation strategies for non-linguistic students to learn a foreign language in the process of professional training using artificial intelligence technologies

Digital technologies have removed all restrictions in the availability of information in a foreign language and deformed the motivation of students of non-language specialties to learn a foreign language. The authors believe that artificial intelligence technologies have the potential to systematically and purposefully influence students' motivation strategies. The goal of the research is to identify main directions of implementing artificial intelligence technologies in the language training process in the context of different motivation strategies. The research methods used are analysis of secondary data, systematization, synthesis, generalization. The research results are the following: 1) approaches to the development of motivational strategies have been differentiated and the prospects of introducing artificial intelligence technologies into the system of student motivation have been described; 2) the necessity of internalizing motives for learning a foreign language have been substantiated; 3) the priority directions of using artificial intelligence technologies in the process of forming students' motivational experience have been described. Key conclusions: 1) the main condition for the effectiveness of the foreign language teaching system is the formation of conditions for the internalization of learning motives; 2) the student's motivational experience is formed through the application of different motivational strategies and in accordance with the motivational design of the training course; 3) a teacher can use different approaches to the formation of the author's portfolio of motivational strategies; 4) artificial intelligence technologies allow to optimize and increase the effectiveness of the process of developing foreign language competences, but they are used in the following ways.