The Role Of Ai-Based Learning Analytics In Improving Student Performance In E-Learning Platforms

Abstract

This article investigates the role of Artificial Intelligence (AI)-based learning analytics in enhancing student performance on e-learning platforms. As digital education becomes a central component of modern pedagogy, understanding the implications and effectiveness of AI tools in tracking, analyzing, and predicting learner behavior has become paramount. The study synthesizes recent empirical findings, explores various machine learning algorithms applied in education, and proposes a model framework for implementing AI-driven analytics in online learning environments. The implications of this research extend to policymakers, educators, and technologists striving for data-informed instructional strategies.