Adaptive Federated Learning Framework for Fair and Privacy-Preserving Educational Analytics

The rapid digitalization of educational environments has led to the large-scale generation of student-related data from online learning platforms, intelligent tutoring systems, and virtual classrooms. While such data enable advanced predictive analytics and personalized learning, they also raise critical concerns related to data privacy, fairness, and ethical use. To address these challenges, this…