Personalized Learning Management System Using Artificial Intelligence

Abstract: The unprecedented growth of digital content has created a significant challenge for learners in finding relevant educational resources tailored to their needs. Technology-Enhanced Learning (TEL) environments have attempted to address this issue by implementing Personalized Learning Recommendation Systems (PLRS) within Learning Management Systems (LMS). This paper synthesizes insights from five seminal studies to evaluate the state-of-the-art methodologies, highlight common trends, discuss challenges, and propose future directions. By analyzing the findings, this review aims to provide a comprehensive understanding of PLRS advancements in TEL.