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dc.contributor.authorCaico, Marissa
dc.contributor.authorHarris, Laura
dc.contributor.authorO'Shea, Sarah
dc.contributor.authorMitchell, Emily
dc.date.accessioned2024-06-27T16:14:57Z
dc.date.available2024-06-27T16:14:57Z
dc.date.issued2024-06
dc.identifier.urihttp://hdl.handle.net/20.500.12648/14992
dc.description.abstractAs creators, consumers, and curators of information, students and scholars need to be able to assess AI research tools. The makers of these tools claim they can do everything from locating sources, to reading and explaining them, to writing new papers that synthesize these sources. These tools promise great things, but it’s not always obvious how these tools work, what data they use, and what data they gather from / about users. If we accept that students (and other writers) will use these tools, how can we help them to look behind the curtain? The Evaluative Information Literacy Rubric for AI Tools breaks down larger concepts from ACRL's Framework for Information Literacy for Higher Education and asks questions of AI research tools users need to consider.en_US
dc.language.isoen_USen_US
dc.rightsAttribution-NonCommercial 4.0 International*
dc.rights.urihttp://creativecommons.org/licenses/by-nc/4.0/*
dc.titleEvaluative Information Literacy Rubric for AI Toolsen_US
dc.typeLearning Objecten_US
dc.description.versionNAen_US
refterms.dateFOA2024-06-27T16:14:59Z
dc.description.institutionSUNY Oswegoen_US
dc.description.departmentPenfield Libaryen_US
dc.description.degreelevelN/Aen_US


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Attribution-NonCommercial 4.0 International
Except where otherwise noted, this item's license is described as Attribution-NonCommercial 4.0 International