Part 2: Humanities Faculty Learning Community
AI Literacy: Faculty to Faculty
Part Two: Findings from the General Humanities Learning Community |
Dear Faculty,
Recently, we convened faculty learning communities across divisions and disciplines, tasking groups to discuss the emerging implications of AI on teaching, learning, and research.
Many useful insights surfaced. In this series of emails, I'll share a few quick takeaways from the teachouts that each group recorded. The full teachout recordings can be found on the NYU Arts & Science YouTube channel.
With gratitude and admiration for our community of lifelong learners,
Michael
Previous emails in this series
Findings from the Social Sciences Learning Community
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The AI Literacy Faculty Learning Communities were facilitated by the
Arts & Science Office of Teaching Excellence and Innovation, with funding from the NYU Center for Teaching & Learning and a Google Empire Generative AI Literacy grant.
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Discussions among the General Humanities Learning Community revealed:
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- Special opportunities for the humanities, which share a commitment to advanced literacy and a pedagogy built on the cultivation of critical thinking.
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A need for informal and ongoing faculty conversations about AI in teaching, research and institutional work. As a result, AI in the Humanities meetups ("no set agenda, no expertise required") are now happening.
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Framing the Classroom Conversation |
Thomas Augst
Associate Professor of English
Shifting the classroom emphasis to
information literacy.
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Knowing Enough to Critically Evaluate AI |
Thomas Augst
Associate Professor of English
Advice for getting your feet wet.
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Information Retrieval vs. Generative Activity |
Lisa Gitelman
Professor of English
We know students use AI,
but do they understand it?
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Close Reading in the Age of AI |
Lisa Gitelman
Professor of English
Working against the "nuggets
of information" model.
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Rosanna Flouty
Clinical Associate Professor
Teachable moments around
citation practices.
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