There is a large and growing number of resources available on the web for AI in higher education. The list below has been curated for relevance to 勛圖tv and its context of an international liberal arts education. Please send to aiaup.edu any suggestions for this list.泭
(metaLAB (at) Harvard)泭
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(Elon University & AAC&U)泭
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Weve found the resources listed here useful in shaping the AI@勛圖tv initiative. 勛圖tv colleagues may find these useful as well in thinking about how they can contribute to the initiative or its goals.泭
(See also the section above Communicating with students about AI & AI use - Academic integrity & AI use)泭
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AI literacy frameworks泭
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(Barnard Colleges scaled framework for moving up a scale: Understand Use Analyze Create)泭
(MLA & CCCC)泭
AI Literacy Model - Practitioner-Scholar Approach Template (Joe Sabado)泭
(EDUCAUSE AI Literacy Programs for Faculty, Staff, and Students Working Group)泭
- Updates to their gen ed learning outcomes are highlighted in : info lit learning outcomes now mention evaluating *origins* of information and understanding ethical dimensions of information work using AI泭
rs (UNESCO) - both frameworks emphasize a human-centered mindset and AI ethics, as well as understanding of AI in order to use it in learning or teaching contexts泭
AI across the curriculum泭
(Southworth et al.) includes U Floridas AI literacy framework泭
(IHE) (Kathleen Landy)泭