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

11 December 2022

Luke M. Guerdan

Scott A. Carter

Haiyi Zhu

Kenneth Holstein

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

4 / 4 papers shown

Title
Applying Interdisciplinary Frameworks to Understand Algorithmic Decision-Making Timothée Schmude Laura M. Koesten Torsten Moller Sebastian Tschiatschek 27 1 0 26 May 2023
Exploring Challenges and Opportunities to Support Designers in Learning to Co-create with AI-based Manufacturing Design Tools Frederic Gmeiner Humphrey Yang L. Yao Kenneth Holstein Nikolas Martelaro AI4CE 57 62 0 01 Mar 2023
A Human-Centered Review of the Algorithms used within the U.S. Child Welfare System Devansh Saxena Karla A. Badillo-Urquiola Pamela J. Wisniewski Shion Guha 56 106 0 07 Mar 2020
Towards A Rigorous Science of Interpretable Machine Learning Finale Doshi-Velez Been Kim XAI FaML 251 3,683 0 28 Feb 2017