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educational data privacy

topic1 events
papersSEP 11 04:00 UTC

PEARL Framework Evaluates Differentially Private Synthetic Educational Data

A new arXiv paper introduces PEARL, a task-aware framework for assessing differentially private synthetic data generated from learner records. The work targets personalized learning systems, where performance, behavioral, and demographic data are highly sensitive. PEARL aims to measure how well such synthetic data supports downstream educational tasks while preserving privacy.

differential-privacy/synthetic-data/education/evaluation