ORGANIZING PERSONALIZED LEARNING IN SMART CLASSROOMS

Abstract

This article analyzes the scientific-theoretical foundations and practical mechanisms of organizing personalized learning in the context of smart classrooms. Personalized learning, based on the integration of modern pedagogy and digital technologies, creates opportunities to manage the educational process by considering each student’s individual needs, knowledge level, and learning pace. Within the framework of the smart classroom concept, the possibilities of adapting and differentiating educational materials through artificial intelligence systems, adaptive learning platforms, interactive boards, online assessment systems, and analytical software are explored. The article also examines the impact of personalized learning on students’ motivation, metacognitive strategies, and effective knowledge acquisition based on scholarly sources. In addition, scientific and practical recommendations are developed for forming teachers’ digital pedagogical competencies, creating individual learning trajectories, and monitoring results.