DEVELOPMENT OF PERSONALIZED LEARNING FOR FUTURE TEACHERS THROUGH COURSE GENERATION USING ARTIFICIAL INTELLIGENCE

Abstract

The article examines a problem of using artificial intelligence technology in continuous education of teachers. The idea of the transition to personalized learning, taking into account individual characteristics and needs of each student through the use of adapted courses generated by artificial intelligence is substantiated. Particular attention is paid to the accompaniment of the main discipline of the curriculum “Research Methods in Pedagogical Education” with a correlating personalized course for self-education generated by artificial intelligence, which allows future teachers of mathematics and computer science to additionally master the basics of the methodology of pedagogical research and develop research competencies necessary for improving educational practice in sphere of “Mathematics and Computer Science.” As a key evidence of the success of the approach used to supplement traditional teaching the basics of the methodology of scientific research are the data of the formative experiment, which confirms an increase in the level of research competencies of future teachers, the quality of the preparation of their final qualifying works.