Model AI Assignments 2020
Conference Paper, Proceedings of 10th Symposium on Educational Advances in Artificial Intelligence (EAAI '20), Vol. 34, No. 9, pp. 13509 - 13511, February, 2020
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 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.
BibTeX
@conference{Neller-2020-131423,author = {Todd W. Neller and Stephen Keeley and Michael Guerzhoy and Wolfgang Hoenig and Jiaoyang Li and Sven Koenig and Ameet Soni and Krista Thomason and Lisa Zhang and Bibin Sebatian and Cinjon Resnick and Avital Oliver and Surya Bhupatiraju and Kumar Krishna Agrawal and James Allingham and Sejong Yoon and Johnathan Chen and Tom Larsen and Marion Neumann and Narges Norouzi and Ryan Hausen and Matthew Evett},
title = {Model AI Assignments 2020},
booktitle = {Proceedings of 10th Symposium on Educational Advances in Artificial Intelligence (EAAI '20)},
year = {2020},
month = {February},
volume = {34},
pages = {13509 - 13511},
}
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