Introduction to the Special Section on Ethics in Learning Design
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Abstract
The International Journal of Designs for Learning (IJDL) is pleased to publish this Special Section on Ethics in Learning Design. This Special Section includes six design cases that highlight different aspects of ethical considerations that instructional designers make as they go about their everyday work. These design cases include instances where ethical tensions were amplified or made central by the author for critical discussion as well as cases where ethical considerations, principles, or frameworks played a key role in enabling design work to occur in a more ethical manner.
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Stephanie L. Moore, University of New Mexico
Stephanie L. Moore is an Associate Professor in Organization, Information and Learning Sciences at the University of New Mexico where she runs a lab and teaches on ethics in learning design. Her research focuses on the intersection of ethics, technologies, and design with an socio-technical approach to ethics through systems, planning, and design.
Colin M. Gray, Indiana University Bloomington
Colin M. Gray is an Associate Professor in the Luddy School of Informatics, Computing, and Engineering at Indiana University Bloomington, where they are Director of the Human-Computer Interaction design (HCI/d) program. Colin’s research focuses on the ways in which the pedagogy and practice of designers informs the development of design ability, particularly in relation to ethics, design knowledge, and learning experience.
Victoria Abramenka-Lachheb, University of Michigan
Victoria Abramenka-Lachheb is a learning designer, scholar, and educator. Her research focuses on the intersection of instructional/learning design, human-computer interaction, design ethics, aiming to make technology-enhanced learning more effective and inclusive by leveraging advanced technologies like GenAI and XR. Her ongoing scholarly projects focus on design ethics, value-sensitive design, and inclusive design related to the use of advanced technologies such as GenAI and XR.

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