ADAPTIVE TECHNOLOGIES IN DISTANCE LEARNING: MODERN APPROACHES AND PERSPECTIVES

Tarasov Oleg Vasilyevich

This article examines modern approaches and perspectives on the use of adaptive technologies in distance learning. Adaptive learning, based on the use of algorithms and artificial intelligence, allows for the personalization of the educational process by adapting it to the knowledge level, abilities, and needs of each student. Special attention is given to microlearning as a content delivery method that helps reduce cognitive load and improve the assimilation of educational material. Within adaptive learning, three main models are highlighted: the knowledge domain model, the learner model, and the pedagogical model. These models interact to create an effective system for adapting the learning process. Research shows that adaptive technologies improve academic performance, reduce dropout rates, and increase satisfaction with the educational process. The article emphasizes the importance of further research for optimizing and more widely implementing adaptive educational systems.

Keywords:adaptive learning, distance learning, artificial intelligence, microlearning, educational technologies, learning personalization