Work

Model AI Assignments 2014 Laura E. Brown Michigan Technological University [email protected]

Year: 2014

Type: conference-paper

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.

Source: Proceedings of the AAAI Conference on Artificial Intelligence

DOI: 10.1609/aaai.v28i3.19038

Authors: Todd Neller, Laura Brown, Roger West, James Heliotis, Sean Strout, Ivona Bezáková, Bikramjit Banerjee, Daniel Thompson

Institutions: Gettysburg College, Michigan Technological University, University of Illinois at Springfield, Rochester Institute of Technology, University of Southern Mississippi

Language: English

Topic: Problem and Project Based Learning

Subfield: Education

Field: Social Sciences

Domain: Social Sciences

SDG: Quality education

Open Access status: diamond

OpenAlex ID: W4298374245

FWCI:

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