Model AI Assignments 2020
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 nine AI assignments from the 2020 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.
Cite
Text
Neller et al. "Model AI Assignments 2020." AAAI Conference on Artificial Intelligence, 2020. doi:10.1609/AAAI.V34I09.7072Markdown
[Neller et al. "Model AI Assignments 2020." AAAI Conference on Artificial Intelligence, 2020.](https://mlanthology.org/aaai/2020/neller2020aaai-model/) doi:10.1609/AAAI.V34I09.7072BibTeX
@inproceedings{neller2020aaai-model,
title = {{Model AI Assignments 2020}},
author = {Neller, Todd W. and Keeley, Stephen and Guerzhoy, Michael and Hönig, Wolfgang and Li, Jiaoyang and Koenig, Sven and Soni, Ameet and Thomason, Krista and Zhang, Lisa and Sebastian, Bibin and Resnick, Cinjon and Oliver, Avital and Bhupatiraju, Surya and Agrawal, Kumar Krishna and Allingham, James and Yoon, Sejong and Chen, Jonathan and Larsen, Tom and Neumann, Marion and Norouzi, Narges and Hausen, Ryan and Evett, Matthew},
booktitle = {AAAI Conference on Artificial Intelligence},
year = {2020},
pages = {13509-13511},
doi = {10.1609/AAAI.V34I09.7072},
url = {https://mlanthology.org/aaai/2020/neller2020aaai-model/}
}