Model AI Assignments 2022

Todd W. Neller, Jazmin Collins, Daniel Schneider, Yim Register, Christopher Brooks, Chia-Wei Tang, Chao-Lin Liu, Roozbeh Aliabadi, Annabel Hasty, Sultan Albarakati, Haotian Fang, Harvey Yin, Joel Wilson

AAAI 2022 pp. 12863-12864

doi:10.1609/AAAI.V36I11.21569 /aaai/2022/neller2022aaai-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 2022 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 2022." AAAI Conference on Artificial Intelligence, 2022. doi:10.1609/AAAI.V36I11.21569

Markdown

[Neller et al. "Model AI Assignments 2022." AAAI Conference on Artificial Intelligence, 2022.](https://mlanthology.org/aaai/2022/neller2022aaai-model/) doi:10.1609/AAAI.V36I11.21569

BibTeX

@inproceedings{neller2022aaai-model,
  title     = {{Model AI Assignments 2022}},
  author    = {Neller, Todd W. and Collins, Jazmin and Schneider, Daniel and Register, Yim and Brooks, Christopher and Tang, Chia-Wei and Liu, Chao-Lin and Aliabadi, Roozbeh and Hasty, Annabel and Albarakati, Sultan and Fang, Haotian and Yin, Harvey and Wilson, Joel},
  booktitle = {AAAI Conference on Artificial Intelligence},
  year      = {2022},
  pages     = {12863-12864},
  doi       = {10.1609/AAAI.V36I11.21569},
  url       = {https://mlanthology.org/aaai/2022/neller2022aaai-model/}
}