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DTSTART:20260308T030000
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DTSTART:20251102T010000
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DTSTART;TZID=America/New_York:20251211T200000
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DESCRIPTION:How should we use AI in undergraduate computer science educatio
 n?\n\nThis talk will draw from the preliminary findings of a Computing Res
 earch Association's 2025 report\, which captured insights from a series of
  32 expert roundtables. The talk will highlight key discussion points and 
 emerging strategies from those meetings.\n\nA central theme is how to best
  integrate AI coding assistants. Many experts disagree about which approac
 hes are best to balance foundational skill development in early courses wi
 th the practical application of AI tools in advanced courses.\n\nThe talk 
 will present examples of pedagogical techniques being explored\, alongside
  potential new assessment models that emphasize critical analysis over cod
 e writing. We will also touch upon the complex institutional questions thi
 s shift raises\, including faculty support and academic integrity. Attende
 es will gain insight into the landscape of thought in the CS community and
  the key questions shaping the future of AI in computing education.\n\nSpe
 aker(s): Noah Cowit\, \n\nRoom: 004\, Bldg: Friend Center\, 79 William St\
 , Princeton\, New Jersey\, United States\, 08544\, Virtual: https://events
 .vtools.ieee.org/m/506180
LOCATION:Room: 004\, Bldg: Friend Center\, 79 William St\, Princeton\, New 
 Jersey\, United States\, 08544\, Virtual: https://events.vtools.ieee.org/m
 /506180
ORGANIZER:dmancl@acm.org
SEQUENCE:10
SUMMARY:Pedagogy in the Age of AI: Emerging Strategies and Key Questions fo
 r Undergraduate Computing Education
URL;VALUE=URI:https://events.vtools.ieee.org/m/506180
X-ALT-DESC:Description: <br /><p>How should we use AI in undergraduate comp
 uter science education?</p>\n<p>This talk will draw from the preliminary f
 indings of a Computing Research Association's 2025 report\, which captured
  insights from a series of 32 expert roundtables. The talk will highlight 
 key discussion points and emerging strategies from those meetings.</p>\n<p
 >A central theme is how to best integrate AI coding assistants. Many exper
 ts disagree about which approaches are best to balance foundational skill 
 development in early courses with the practical application of AI tools in
  advanced courses.</p>\n<p>The talk will present examples of pedagogical t
 echniques being explored\, alongside potential new assessment models that 
 emphasize critical analysis over code writing. We will also touch upon the
  complex institutional questions this shift raises\, including faculty sup
 port and academic integrity. Attendees will gain insight into the landscap
 e of thought in the CS community and the key questions shaping the future 
 of AI in computing education.</p>\n<p>&nbsp\;</p>
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