Model AI Assignments 2024

Todd W. Neller, Pia Bideau, David Bierbach, Wolfgang Hönig, Nir Lipovetzky, Christian Muise, Lino Coria, Claire Wong, Stephanie Rosenthal, Yu Lu, Ming Gao, Jingjing Zhang

AAAI 2024 pp. 23370-23371

doi:10.1609/AAAI.V38I21.30386 /aaai/2024/neller2024aaai-model/

Abstract

The Model AI Assignments session seeks to gather and dis- seminate the best assignment designs of the Artificial In- telligence (AI) Education community. Recognizing that as- signments form the core of student learning experience, we here present abstracts of five AI assignments from the 2024 session that are easily adoptable, playfully engaging, and flexible for a variety of instructor needs. Assignment spec- ifications and supporting resources may be found at http://modelai.gettysburg.edu.

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Cite

Text

Neller et al. "Model AI Assignments 2024." AAAI Conference on Artificial Intelligence, 2024. doi:10.1609/AAAI.V38I21.30386

Markdown

[Neller et al. "Model AI Assignments 2024." AAAI Conference on Artificial Intelligence, 2024.](https://mlanthology.org/aaai/2024/neller2024aaai-model/) doi:10.1609/AAAI.V38I21.30386

BibTeX

@inproceedings{neller2024aaai-model,
  title     = {{Model AI Assignments 2024}},
  author    = {Neller, Todd W. and Bideau, Pia and Bierbach, David and Hönig, Wolfgang and Lipovetzky, Nir and Muise, Christian and Coria, Lino and Wong, Claire and Rosenthal, Stephanie and Lu, Yu and Gao, Ming and Zhang, Jingjing},
  booktitle = {AAAI Conference on Artificial Intelligence},
  year      = {2024},
  pages     = {23370-23371},
  doi       = {10.1609/AAAI.V38I21.30386},
  url       = {https://mlanthology.org/aaai/2024/neller2024aaai-model/}
}