THE IMPACT OF ARTIFICIAL INTELLIGENCE-BASED PLATFORMS ON THE QUALITY OF EDUCATION IN DISTANCE LEARNING

Abstract

The rapid advancement of artificial intelligence (AI) has profoundly transformed distance learning, offering unprecedented opportunities to enhance educational quality through personalization, adaptability, and efficiency. This article examines the multifaceted influence of AI-powered platforms on key dimensions of educational quality in remote environments, including learner engagement, academic outcomes, accessibility, and pedagogical effectiveness. Drawing on empirical evidence and theoretical frameworks, it explores how intelligent tutoring systems, adaptive learning algorithms, and automated analytics address longstanding challenges in distance education such as learner isolation, varying proficiency levels, and limited instructor resources. While AI demonstrates significant potential to improve retention, satisfaction, and performance, it also raises critical concerns regarding equity, data privacy, ethical implementation, and the preservation of human elements in teaching. The analysis underscores the need for balanced integration strategies that leverage AI’s strengths while mitigating its limitations to foster high-quality, inclusive distance learning experiences.