Adaptive Learning Methods: Personalized Education Through Intelligent Systems

Abstract

Adaptive learning employs artificial intelligence, learning analytics, and real-time data tracking to customize instruction according to each learner’s profile. By adjusting content, pace, and feedback, these systems enhance learner engagement, motivation, and academic achievement. This article examines the theoretical foundation of adaptive learning, its system architecture, advantages, challenges, ethical considerations, and emerging trends. Evidence-based examples and practical implementations are discussed to guide effective adoption and future research in various educational settings.