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DTSTART:20260928T160000Z
DTEND:20260928T173000Z
DTSTAMP:20260928T000000Z
SUMMARY:Collections-Based Teaching: AI Resilient or AI Supported?
DESCRIPTION:To register for this event\, please visit the Yale Connect 
 page.\n\nInstructors are increasingly drawn to collections-based teaching 
 because it appears to be immune to the impact of AI\, leaving students with 
 a hands-on engagement with material culture. At the same time\, AI has been 
 introduced into scholarly approaches to materiality\, specifically in 
 support of traditional research. This workshop invites participants to 
 think through the goals of an AI-resilient model of collections-based 
 teaching while weighing the affordances of technologically inflected 
 approaches to collections\, so that they can make their decisions 
 transparent to their students. \n\nLed by:\n\n\n	Gina Hurley\, PhD\, 
 Associate Director for Teaching Development and Initiatives\, Poorvu Center 
 for Teaching and Learning\n	Hannelore Segers\, PhD\, Early Materials 
 Cataloger\, Beinecke Rare Book and Manuscript Library\n\n\nKey 
 Questions:\n\nWhat does this technology allow us to do that we currently 
 can’t? As instructors\, how can we guide students toward or away from use 
 of these tools\, and a better understanding of their limitations and 
 benefits? Does it interfere with students’ skill-acquisition and 
 understanding of materiality\, or does it offer ways to reinforce them?  
 What are specific contexts in which AI-use can be considered to be useful 
 or detrimental? \n\nGoals:  \n\n\n	Explore the idea that collections-based 
 teaching is AI-resilient \n	Consider our goals in introducing material 
 culture to students \n	Through a case study (Gemini)\, consider whether AI 
 can be used ethically in the space of collection-based teaching\, without 
 displacing goals around materiality and textual literacy \n	Revisit the 
 question of the relationship between collections-based teaching and AI 
 resilience with a more nuanced perspective \n
LOCATION:CTL 120A/B
ORGANIZER;CN="Yale Library Events .":MAILTO:yalelibraryevents@yale.edu
CATEGORIES:AI (Artificial Intelligence)
CONTACT;CN="Yale Library Events .":MAILTO:yalelibraryevents@yale.edu
STATUS:CONFIRMED
UID:LibCal-17407832
URL:https://schedule.yale.edu/event/17407832
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