Model AI Assignments 2023

Todd W. Neller, Raechel Walker, Olivia Dias, Zeynep Yalçin, Cynthia Breazeal, Matthew E. Taylor, Michele Donini, Erin J. Talvitie, Charlie Pilgrim, Paolo Turrini, James Maher, Matthew Boutell, Justin Wilson, Narges Norouzi, Jonathan Scott

AAAI 2023 pp. 16104-16105

doi:10.1609/AAAI.V37I13.26913 /aaai/2023/neller2023aaai-model/

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 .

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Cite

Text

Neller et al. "Model AI Assignments 2023." AAAI Conference on Artificial Intelligence, 2023. doi:10.1609/AAAI.V37I13.26913

Markdown

[Neller et al. "Model AI Assignments 2023." AAAI Conference on Artificial Intelligence, 2023.](https://mlanthology.org/aaai/2023/neller2023aaai-model/) doi:10.1609/AAAI.V37I13.26913

BibTeX

@inproceedings{neller2023aaai-model,
  title     = {{Model AI Assignments 2023}},
  author    = {Neller, Todd W. and Walker, Raechel and Dias, Olivia and Yalçin, Zeynep and Breazeal, Cynthia and Taylor, Matthew E. 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},
  booktitle = {AAAI Conference on Artificial Intelligence},
  year      = {2023},
  pages     = {16104-16105},
  doi       = {10.1609/AAAI.V37I13.26913},
  url       = {https://mlanthology.org/aaai/2023/neller2023aaai-model/}
}