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PEARL: A Task-Aware Framework for Evaluating Differentially Private Synthetic Educational Data
Personalized learning systems rely on real learner data, including performance, behavior, and demographic information, but these data are highly privacy-sensitive. Differentially private (DP) synthetic data can support system development and educational research while reducing exposure of individual
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