AAAI 2023technical0 citations
Model AI Assignments 2023
Todd W. Neller, Raechel Walker, Olivia Dias, Zeynep Yalçın, Cynthia Breazeal, Matt Taylor, Michele Donini, Erin J. Talvitie
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 .
BibTeX
@article{Neller_Walker_Dias_Yalçın_Breazeal_Taylor_Donini_Talvitie_Pilgrim_Turrini_Maher_Boutell_Wilson_Norouzi_Scott_2024, title={Model AI Assignments 2023}, volume={37}, url={https://ojs.aaai.org/index.php/AAAI/article/view/26913}, DOI={10.1609/aaai.v37i13.26913}, abstractNote={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 .}, number={13}, journal={Proceedings of the AAAI Conference on Artificial Intelligence}, author={Neller, Todd W. and Walker, Raechel and Dias, Olivia and Yalçın, Zeynep and Breazeal, Cynthia and Taylor, Matt and Donini, Michele and Talvitie, Erin J. and Pilgrim, Charlie and Turrini, Paolo and Maher, James and Boutell, Matthew and Wilson, Justin and Norouzi, Narges and Scott, Jonathan}, year={2024}, month={Jul.}, pages={16104-16105} }