mlsanityData to 13 Oct 2026

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

arXiv 2212.05588 ↗First posted 11 Dec 2022cs.HCcited by 3

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Abstract (arXiv)

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

Key facts. Cited by 3 papers in the map (data through 13 Oct 2026). First posted on arXiv 11 Dec 2022.

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Citing papers per year: 2023: 2; 2024: 0; 2025: 0; 2026: 1.

3 papers.