Future Internet, Volume 16, Issue 6 (June 2024) – 40 articles
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The paper “Visual Data and Pattern Analysis for Smart Education: A Robust DRL-Based Early Warning System for Student Performance Prediction” presents a comprehensive framework to enhance student performance monitoring in e-learning. By leveraging Deep Reinforcement Learning (DRL), the study develops an early warning system that uses visual data and pattern analysis to predict student engagement and performance. The approach includes federated learning-based authentication, multi-objective clustering, and personalised recommendation generation, aiming to create a more responsive and adaptive educational environment. This system significantly improves prediction accuracy and personalises educational support, ensuring timely interventions for at-risk students. View this paper
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