DIDACTIC CLASSIFICATION OF TECHNOLOGIES FOR DEVELOPING PEDAGOGICAL CULTURE AND THE ALGORITHM OF THEIR INTEGRATION INTO PEDAGOGICAL EDUCATION

Abstract

This article examines the functional capabilities of adaptive artificial intelligence technologies in the educational process and their role in developing pedagogical culture. Special attention is paid to the didactic classification of adaptive AI technologies, including learning content adaptation technologies, systems for managing individual learning trajectories, and analytical platforms for evaluating learning activities. The study analyzes the methodological features of integrating artificial intelligence into pedagogical education and presents an algorithm for implementing adaptive AI systems, including diagnostic-analytical stages, formation of individual learning trajectories, organization of adaptive learning activities, monitoring, and reflective assessment. The research substantiates that the use of adaptive artificial intelligence contributes to the individualization of education, improvement of pedagogical diagnostics, development of reflective thinking, and enhancement of future teachers’ professional competencies.