Leveraging AI and Learning Analytics for Enhanced Distance Learning: Transformation in Education

Abstract

This chapter delves into how AI and learning analytics are reshaping distance learning by enabling a more personalized, adaptive, and data-informed educational experience. AI-driven tools allow educators to analyze student behavior, engagement, and performance, facilitating timely support and targeted interventions that enhance learning outcomes. Learning analytics helps predict challenges, enabling proactive measures that keep students on track, while also providing insights into diverse learning needs. Through AI, online education becomes more interactive and efficient, as automation handles routine tasks and customizes content to suit individual progress and preferences. This approach not only improves the efficacy of distance learning but also drives a shift in traditional educational methods toward a more inclusive and responsive framework. As educational institutions adopt these technologies, understanding their capabilities and limitations becomes essential for effectively advancing digital learning and supporting diverse learner success.