Model AI Assignments 2016

Todd W. Neller, Laura E. Brown, James B. Marshall, Lisa Torrey, Nate Derbinsky, Andrew A. Ward, Thomas E. Allen, Judy Goldsmith, Nahom Muluneh

AAAI 2016 pp. 4139-4141

doi:10.1609/AAAI.V30I1.9861 /aaai/2016/neller2016aaai-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 2016 session that are easily adoptable, playfully engaging, and flexible for a variety of instructor needs.

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Cite

Text

Neller et al. "Model AI Assignments 2016." AAAI Conference on Artificial Intelligence, 2016. doi:10.1609/AAAI.V30I1.9861

Markdown

[Neller et al. "Model AI Assignments 2016." AAAI Conference on Artificial Intelligence, 2016.](https://mlanthology.org/aaai/2016/neller2016aaai-model/) doi:10.1609/AAAI.V30I1.9861

BibTeX

@inproceedings{neller2016aaai-model,
  title     = {{Model AI Assignments 2016}},
  author    = {Neller, Todd W. and Brown, Laura E. and Marshall, James B. and Torrey, Lisa and Derbinsky, Nate and Ward, Andrew A. and Allen, Thomas E. and Goldsmith, Judy and Muluneh, Nahom},
  booktitle = {AAAI Conference on Artificial Intelligence},
  year      = {2016},
  pages     = {4139-4141},
  doi       = {10.1609/AAAI.V30I1.9861},
  url       = {https://mlanthology.org/aaai/2016/neller2016aaai-model/}
}