Model AI Assignments 2014 Laura E. Brown Michigan Technological University lebrown@mtu.edu

Authors

  • Todd W. Neller Gettysburg College
  • Laura E. Brown Michigan Technological University
  • Roger L. West University of Illinois at Springfield
  • James Heliotis Rochester Institute of Technology
  • Sean Strout Rochester Institute of Technology
  • Ivona Bezáková Rochester Institute of Technology
  • Bikramjit Banerjee The University of Southern Mississippi
  • Daniel Thompson The University of Southern Mississippi

DOI:

https://doi.org/10.1609/aaai.v28i3.19038

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 five AI assignments from the 2014 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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Published

2014-07-27

How to Cite

Neller, T., Brown, L., West, R., Heliotis, J., Strout, S., Bezáková, I., Banerjee, B., & Thompson, D. (2014). Model AI Assignments 2014 Laura E. Brown Michigan Technological University lebrown@mtu.edu. Proceedings of the AAAI Conference on Artificial Intelligence, 28(3), 3054-3055. https://doi.org/10.1609/aaai.v28i3.19038

Issue

Vol. 28 No. 3 (2014): Fifth Symposium on Educational Advances in Artificial Intelligence

Section

EAAI Model AI Assignments