DESIGNING A PERSONALIZED LEARNING ENVIRONMENT BASED ON ARTIFICIAL INTELLIGENCE AND STUDYING ITS PSYCHOLOGICAL-PEDAGOGICAL FOUNDATIONS
Abstract
This article analyzes the theoretical, psychological, and pedagogical foundations of creating a personalized learning environment based on artificial intelligence (AI) technologies. The process of individualizing education is presented as an approach that adapts teaching strategies to each student’s abilities, learning pace, motivation, and emotional state. The study scientifically highlights the advantages of using AI systems to form personalized learning paths, analyze learning outcomes, and implement adaptive teaching mechanisms. Based on psychological and pedagogical theories, the article also examines both the positive and potential negative aspects of AI-mediated interaction between students and teachers.
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