Domains of AI-Awareness for Education

dc.contributor.authorDanielle Dilkes
dc.date.accessioned2026-02-03T14:37:26Z
dc.date.issued2025-08-15
dc.description.abstractThis resource provides an overview of key considerations when exploring the impact of generative AI on Teaching and Learning. It is built around 7 domains of AI-Awareness: Knowledge, Skill, Ethics, Values, Affect, Pedagogy and Interconnectedness. You can dive into the sections that align with your specific questions and interests in generative AI. Throughout, there will be opportunities to reflect and to engage in different activities designed to allow you to explore the domains of AI-Awareness. At the end of each section, you can reflect on your own level of awareness within each domain. This resource is intended for anyone working in a higher education space, but was developed at Western University. Throughout, there will be some specific references to Western resources and policies. You are encouraged to seek out similar information at your own institutions. The generative AI landscape, including the capability of generative AI, information about the social impact, and other details are constantly and rapidly evolving. This resource should be considered a living resource and will be updated regularly to reflect changes.
dc.description.copyrightDomains of AI-Awareness for Education Copyright © 2025 by Dani Dilkes is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License, except where otherwise noted.
dc.identifier.doihttps://doi.org/10.5206/KMAV8824
dc.identifier.isbn978-0-7714-3211-8
dc.identifier.urihttps://hdl.handle.net/20.500.14721/39364
dc.publisherCentre for Teaching and Learning, Western University
dc.subjectgenerative AI
dc.subjecthigher education
dc.titleDomains of AI-Awareness for Education
dc.title.alternativeNavigating the complexity of generative AI in teaching and learning
dc.typebook
oaire.license.conditionhttps://creativecommons.org/licenses/by-nc-sa/4.0/

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