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Model AI assignments 2023
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Neller, Todd W., Walker, Raechel, Dias, Olivia, Yalçın, Zeynep, Breazeal, Cynthia, Taylor, Matt, Donini, Michele, Talvitie, Erin J., Pilgrim, Charlie, Turrini, Paolo, Maher, James, Boutell, Matthew, Wilson, Justin, Norouzi, Narges and Scott, Jonathan (2023) Model AI assignments 2023. In: The 37th AAAI Conference on Artificial Intelligence, Washington, DC, USA, 7-14 Feb 2023. Published in: Proceedings of the AAAI Conference on Artificial Intelligence, 37 (13). pp. 16104-16105. doi:10.1609/aaai.v37i13.26913 ISSN 2374-3468.
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Official URL: http://dx.doi.org/10.1609/aaai.v37i13.26913
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 six AI assignments from the 2023 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.
Item Type: | Conference Item (Paper) | ||||
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Divisions: | Faculty of Science, Engineering and Medicine > Science > Computer Science | ||||
Journal or Publication Title: | Proceedings of the AAAI Conference on Artificial Intelligence | ||||
Publisher: | AAAI Press | ||||
ISSN: | 2374-3468 | ||||
Official Date: | 6 September 2023 | ||||
Dates: |
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Volume: | 37 | ||||
Number: | 13 | ||||
Page Range: | pp. 16104-16105 | ||||
DOI: | 10.1609/aaai.v37i13.26913 | ||||
Status: | Peer Reviewed | ||||
Publication Status: | Published | ||||
Access rights to Published version: | Free Access (unspecified licence, 'bronze OA') | ||||
Conference Paper Type: | Paper | ||||
Title of Event: | The 37th AAAI Conference on Artificial Intelligence | ||||
Type of Event: | Conference | ||||
Location of Event: | Washington, DC, USA | ||||
Date(s) of Event: | 7-14 Feb 2023 | ||||
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