Artificial Intelligence–Driven Adaptive Learning Systems and Educational Analytics

Abstract

This study examines how emerging digital technologies are reshaping the educational environment, with particular emphasis on adaptive learning tools and learning analytics. It investigates the role of intelligent systems in creating more personalized learning experiences by providing immediate feedback, adjusting content dynamically, supporting learners through prediction, and assisting with attendance monitoring. By reviewing a range of recent applications, the study shows that adaptive tools can increase learner participation and academic achievement by tailoring learning paths to each student's needs, pace, and performance profile. The findings suggest that these approaches can address diverse learning needs while giving teachers richer insights to support planning and improve outcomes.