Model AI Assignments 2019

Todd W. Neller, Raja Sooriamurthi, Michael Guerzhoy, Lisa Zhang, Paul G. Talaga, Christopher Archibald, Adam Summerville, Joseph C. Osborn, Cinjon Resnick, Avital Oliver, Surya Bhupatiraju, Kumar Krishna Agrawal, Nate Derbinsky, Elena Strange, Marion Neumann, Jonathan Chen, Zac Christensen, Michael Wollowski, Oscar Youngquist

AAAI 2019 pp. 9751-9753

doi:10.1609/AAAI.V33I01.33019751 /aaai/2019/neller2019aaai-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 ten AI assignments from the 2019 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 2019." AAAI Conference on Artificial Intelligence, 2019. doi:10.1609/AAAI.V33I01.33019751

Markdown

[Neller et al. "Model AI Assignments 2019." AAAI Conference on Artificial Intelligence, 2019.](https://mlanthology.org/aaai/2019/neller2019aaai-model/) doi:10.1609/AAAI.V33I01.33019751

BibTeX

@inproceedings{neller2019aaai-model,
  title     = {{Model AI Assignments 2019}},
  author    = {Neller, Todd W. and Sooriamurthi, Raja and Guerzhoy, Michael and Zhang, Lisa and Talaga, Paul G. and Archibald, Christopher and Summerville, Adam and Osborn, Joseph C. and Resnick, Cinjon and Oliver, Avital and Bhupatiraju, Surya and Agrawal, Kumar Krishna and Derbinsky, Nate and Strange, Elena and Neumann, Marion and Chen, Jonathan and Christensen, Zac and Wollowski, Michael and Youngquist, Oscar},
  booktitle = {AAAI Conference on Artificial Intelligence},
  year      = {2019},
  pages     = {9751-9753},
  doi       = {10.1609/AAAI.V33I01.33019751},
  url       = {https://mlanthology.org/aaai/2019/neller2019aaai-model/}
}