Model AI Assignments 2022

Authors

  • Todd W. Neller Gettysburg College
  • Jazmin Collins Arcadia University
  • Daniel Schneider Code.org
  • Yim Register University of Washington
  • Christopher Brooks University of San Francisco
  • Chiawei Tang National Chengchi University
  • Chaolin Liu National Chengchi University
  • Roozbeh Aliabadi ReadyAI
  • Annabel Hasty Quest Academy
  • Sultan Albarakati NEOM
  • Haotian Fang ReadyAI
  • Harvey Yin ReadyAI
  • Joel Wilson ReadyAI

DOI:

https://doi.org/10.1609/aaai.v36i11.21569

Keywords:

Model AI Assignments

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.
AAAI-22 Proceedings Cover

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Published

2022-06-28

How to Cite

Neller, T. W., Collins, J., Schneider, D., Register, Y., Brooks, C., Tang, C., Liu, C., Aliabadi, R., Hasty, A., Albarakati, S., Fang, H., Yin, H., & Wilson, J. (2022). Model AI Assignments 2022. Proceedings of the AAAI Conference on Artificial Intelligence, 36(11), 12863-12864. https://doi.org/10.1609/aaai.v36i11.21569

Issue

Vol. 36 No. 11: IAAI-22, EAAI-22, AAAI-22 Special Programs and Special Track, Student Papers and Demonstrations

Section

EAAI Symposium: Model AI Assignment Abstracts