NEURAL NETWORKS AS A TOOL FOR ENHANCING THE MOTIVATION OF FUTURE FOREIGN LANGUAGE TEACHERS

The purpose of the study is to examine the potential use of artificial intelligence (AI) in foreign language classes and the impact of such technologies on the motivation levels of learners. Changes associated with the development of Internet technologies are leading to the formation of a different approach to acquiring subject-specific, methodological, and psychological-pedagogical knowledge, skills, and competencies by future teachers. Internet resources created based on neural network technologies serve as a relevant tool employed in the process of foreign language learning.
Research methods: analysis and generalization of scientific and methodological literature, pedagogical experiment, methods of mathematical statistics.
Research results and conclusions. The dynamics of motivation levels among students of language specialties in the process of learning to write in a foreign language have been identified. The data obtained show that studying a foreign language using neural networks allows for the adaptation of educational material to the needs of the learner, ensures the continuity of learning, and activates students' cognitive activity through information presented in an interactive form. The correct use of AI technologies in education provides relevance and effectiveness to the educational process, linking it with the realities of our time.

higher pedagogical education, artificial intelligence, internet technologies, motivation, foreign language learning