Rethinking Learning Analytics: Can We Use Data Without Compromising Privacy?

This study addresses the challenge of balancing learning analytics with student privacy by introducing SynEdu-HEDL, a privacy-preserving synthetic dataset. It enables secure data sharing while maintaining realism, supporting research, collaboration, and ethical AI in higher education.