Model AI Assignments 2016

Authors

  • Todd Neller Gettysburg College
  • Laura Brown Michigan Technological University
  • James Marshall Sarah Lawrence College
  • Lisa Torrey St. Lawrence University
  • Nate Derbinsky Wentworth Institute of Technology
  • Andrew Ward Software Developer
  • Thomas Allen University of Kentucky
  • Judy Goldsmith University of Kentucky
  • Nahom Muluneh University of Kentucky

DOI:

https://doi.org/10.1609/aaai.v30i1.9861

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 2016 session that are easily adoptable, playfully engaging, and flexible for a variety of instructor needs.

AAAI 2016 Proceedings Cover

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Published

2016-03-05

How to Cite

Neller, T., Brown, L., Marshall, J., Torrey, L., Derbinsky, N., Ward, A., Allen, T., Goldsmith, J., & Muluneh, N. (2016). Model AI Assignments 2016. Proceedings of the AAAI Conference on Artificial Intelligence, 30(1). https://doi.org/10.1609/aaai.v30i1.9861

Issue

Vol. 30 No. 1 (2016): Thirtieth AAAI Conference on Artificial Intelligence

Section

EAAI Symposium Model AI Assignments