Author:
Neller Todd W.,Sooriamurthi Raja,Guerzhoy Michael,Zhang Lisa,Talaga Paul,Archibald Christopher,Summerville Adam,Osborn Joseph,Resnick Cinjon,Oliver Avital,Bhupatiraju Surya,Agrawal Kumar Krishna,Derbinsky Nate,Strange Elena,Neumann Marion,Chen Jonathan,Christensen Zac,Wollowski Michael,Youngquist Oscar
Abstract
The Model AI Assignments session seeks to gather and disseminate the best assignment designs of the Artificial Intelligence (AI) Education community. Recognizing that assignments form the core of student learning experience, we here present abstracts of ten AI assignments from the 2019 session that are easily adoptable, playfully engaging, and flexible for a variety of instructor needs. Assignment specifications and supporting resources may be found at http: //modelai.gettysburg.edu.
Publisher
Association for the Advancement of Artificial Intelligence (AAAI)
Cited by
1 articles.
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1. AI education matters;AI Matters;2019-12-06