Learning Management System

Learning Management Systems (LMS) are increasingly used not only for content delivery but also for predicting and improving student performance. Current research focuses on leveraging LMS data, often through machine learning algorithms (like supervised and unsupervised learning methods), to identify at-risk students and personalize learning experiences. This involves analyzing various student interactions, including engagement levels, emotional states (as detected through webcam analysis), and assignment completion rates, to create more effective interventions and support systems. These advancements hold significant potential for enhancing educational outcomes and informing the design of more effective pedagogical strategies.