Model AI Assignments 2014

Todd W. Neller, Laura E. Brown, Roger L. West, James E. Heliotis, Sean Strout, Ivona Bezáková, Bikramjit Banerjee, Daniel Lucas Thompson

AAAI 2014 pp. 3054-3056

doi:10.1609/AAAI.V28I3.19038 /aaai/2014/neller2014aaai-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 five AI assignments from the 2014 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 2014." AAAI Conference on Artificial Intelligence, 2014. doi:10.1609/AAAI.V28I3.19038

Markdown

[Neller et al. "Model AI Assignments 2014." AAAI Conference on Artificial Intelligence, 2014.](https://mlanthology.org/aaai/2014/neller2014aaai-model/) doi:10.1609/AAAI.V28I3.19038

BibTeX

@inproceedings{neller2014aaai-model,
  title     = {{Model AI Assignments 2014}},
  author    = {Neller, Todd W. and Brown, Laura E. and West, Roger L. and Heliotis, James E. and Strout, Sean and Bezáková, Ivona and Banerjee, Bikramjit and Thompson, Daniel Lucas},
  booktitle = {AAAI Conference on Artificial Intelligence},
  year      = {2014},
  pages     = {3054-3056},
  doi       = {10.1609/AAAI.V28I3.19038},
  url       = {https://mlanthology.org/aaai/2014/neller2014aaai-model/}
}