Model AI Assignments 2018

Todd W. Neller, Zack Butler, Nate Derbinsky, Heidi Furey, Fred Martin, Michael Guerzhoy, Ariel Anders, Joshua Eckroth

AAAI 2018 pp. 7959-7961

doi:10.1609/AAAI.V32I1.11398 /aaai/2018/neller2018aaai-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 ex- perience, we here present abstracts of seven AI assign- ments from the 2018 session that are easily adoptable, playfully engaging, and flexible for a variety of instruc- tor needs.

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Cite

Text

Neller et al. "Model AI Assignments 2018." AAAI Conference on Artificial Intelligence, 2018. doi:10.1609/AAAI.V32I1.11398

Markdown

[Neller et al. "Model AI Assignments 2018." AAAI Conference on Artificial Intelligence, 2018.](https://mlanthology.org/aaai/2018/neller2018aaai-model/) doi:10.1609/AAAI.V32I1.11398

BibTeX

@inproceedings{neller2018aaai-model,
  title     = {{Model AI Assignments 2018}},
  author    = {Neller, Todd W. and Butler, Zack and Derbinsky, Nate and Furey, Heidi and Martin, Fred and Guerzhoy, Michael and Anders, Ariel and Eckroth, Joshua},
  booktitle = {AAAI Conference on Artificial Intelligence},
  year      = {2018},
  pages     = {7959-7961},
  doi       = {10.1609/AAAI.V32I1.11398},
  url       = {https://mlanthology.org/aaai/2018/neller2018aaai-model/}
}