Model AI Assignments 2021

Todd W. Neller, Nathan Sprague, John Maraist, Lisa Zhang, Pouria Fewzee, Duri Long, Jonathan Moon, Brian Magerko, Alex Leto, Toni Lefton, Tom Williams

AAAI 2021 pp. 15705-15706

doi:10.1609/AAAI.V35I17.17850 /aaai/2021/neller2021aaai-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 2021 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 2021." AAAI Conference on Artificial Intelligence, 2021. doi:10.1609/AAAI.V35I17.17850

Markdown

[Neller et al. "Model AI Assignments 2021." AAAI Conference on Artificial Intelligence, 2021.](https://mlanthology.org/aaai/2021/neller2021aaai-model/) doi:10.1609/AAAI.V35I17.17850

BibTeX

@inproceedings{neller2021aaai-model,
  title     = {{Model AI Assignments 2021}},
  author    = {Neller, Todd W. and Sprague, Nathan and Maraist, John and Zhang, Lisa and Fewzee, Pouria and Long, Duri and Moon, Jonathan and Magerko, Brian and Leto, Alex and Lefton, Toni and Williams, Tom},
  booktitle = {AAAI Conference on Artificial Intelligence},
  year      = {2021},
  pages     = {15705-15706},
  doi       = {10.1609/AAAI.V35I17.17850},
  url       = {https://mlanthology.org/aaai/2021/neller2021aaai-model/}
}