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X-WR-CALNAME:Stearns Center for Teaching and Learning
X-ORIGINAL-URL:https://stearnscenter.gmu.edu
X-WR-CALDESC:Events for Stearns Center for Teaching and Learning
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DTSTART:20250101T000000
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DTSTART;TZID=UTC:20261204T090000
DTEND;TZID=UTC:20261204T100000
DTSTAMP:20260903T130850Z
CREATED:20260903T130629Z
LAST-MODIFIED:20260903T130850Z
UID:12046-1796374800-1796378400@stearnscenter.gmu.edu
SUMMARY:AI Test Kitchen: Reducing Ambiguity
DESCRIPTION:Register Here | Facilitator: Laina Lockett \nWhether you’re new to AI tools like Microsoft CoPilot or have a lot of AI experience\, join this session to explore in-depth prompting to reduce unnecessary barriers in assignment instructions or your syllabus using a Universal Design for Learning Framework. This session is based on the book The Science of Learning Meets AI by Ludwig and Zakrajsek. Please have access to at least one of the following to get the most out of this session: assignment instructions\, syllabus\, or project description. *Participation in past AI Test Kitchens is not required. This workshop is part of the Teaching with AI Credential. \n* Adding to your calendar will not register you for the event; please register using the link above.
URL:https://stearnscenter.gmu.edu/event/ai-test-kitchen-reducing-ambiguity/
LOCATION:Zoom\, You will be able to view the Zoom link upon registering.
CATEGORIES:AI Series,Test Kitchen
ORGANIZER;CN="Laina Lockett":MAILTO:llocket@gmu.edu
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