Model AI Assignments 2020
Autor: | Ryan Hausen, Jonathan Chen, Ameet Soni, Marion Neumann, Todd W. Neller, Cinjon Resnick, Krista Karbowski Thomason, Michael Guerzhoy, Jiaoyang Li, Sven Koenig, Matthew Evett, Bibin Sebastian, Stephen Keeley, Narges Norouzi, Surya Bhupatiraju, Wolfgang Hoenig, Kumar Krishna Agrawal, Avital Oliver, Tom Larsen, Sejong Yoon, James Urquhart Allingham, Lisa Zhang |
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Rok vydání: | 2020 |
Předmět: | |
Zdroj: | AAAI |
ISSN: | 2374-3468 2159-5399 |
DOI: | 10.1609/aaai.v34i09.7072 |
Popis: | 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 nine AI assignments from the 2020 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. |
Databáze: | OpenAIRE |
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