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In this short paper, we argue for a refocusing of XAI around human learninggoals. Drawing upon approaches and theories from the learning sciences, wepropose a framework for the learner-centered design and evaluation of XAIsystems. We illustrate our framework through an ongoing case study in thecontext of AI-augmented social work.

Towards a Learner-Centered Explainable AI: Lessons from the learning sciences