Model AI Assignments 2018

Authors

  • Todd Neller Gettysburg College
  • Zack Butler Rochester Institute of Technology
  • Nate Derbinsky Northeastern University
  • Heidi Furey Manhattan College
  • Fred Martin University of Massachusetts Lowell
  • Michael Guerzhoy University of Toronto
  • Ariel Anders Massachusetts Institute of Technology
  • Joshua Eckroth Stetson University

DOI:

https://doi.org/10.1609/aaai.v32i1.11398

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 ex- perience, we here present abstracts of seven AI assign- ments from the 2018 session that are easily adoptable, playfully engaging, and flexible for a variety of instruc- tor needs.

AAAI 2018 Proceedings Cover

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Published

2018-04-27

How to Cite

Neller, T., Butler, Z., Derbinsky, N., Furey, H., Martin, F., Guerzhoy, M., Anders, A., & Eckroth, J. (2018). Model AI Assignments 2018. Proceedings of the AAAI Conference on Artificial Intelligence, 32(1). https://doi.org/10.1609/aaai.v32i1.11398

Issue

Vol. 32 No. 1 (2018): Thirty-Second AAAI Conference on Artificial Intelligence

Section

EAAI18 - Model AI Assignments