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SUMMARY:coffee&LEARN: Learning to Code with AI
DTSTART:20250114T143000
DTEND:20250114T151500
DTSTAMP:20260525T204507Z
UID:3a0353b37558ddc6062f7415625022a90bb43b4f9e94bbb7f13c418e
CATEGORIES:Conferences - Seminars
DESCRIPTION:Majeed Kazemitabaar\, University of Toronto\, Department of Co
 mputer Science\nIn the evolving landscape of programming with generative 
 AI\, critical questions emerge around its impact on cognition and learning
 .\n\nIn this talk\, Majeed Kazemitabaar (University of Toronto) will prese
 nt findings from his research on three key topics: (a) What are the implic
 ations of using AI when learning to code for the first time? Does AI enhan
 ce learning or foster over-reliance\, potentially hindering outcomes? (b) 
 How can we design novel interfaces that cognitively engage learners with A
 I-generated solutions—enhancing users’ ability to extend and modify co
 de without creating friction? (c) How to design pedagogical AI coding assi
 stants for educational contexts?\n\nHe will discuss the design of CodeAid\
 , results from its 12-week deployment in a large class of 750 students\, a
 nd perspectives from students and educators.\n\nThis talk will be held vir
 tually only.\nTo join\, register via zoom (QR code of registration link).
  \n\n 
LOCATION:https://epfl.zoom.us/meeting/register/u50kc--vrTovE9F5L48z5gyQWEM
 Tsy_FairD
STATUS:CONFIRMED
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