Work

Model AI Assignments 2016

Year: 2016

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 six AI assignments from the 2016 session that are easily adoptable, playfully engaging, and flexible for a variety of instructor needs.

Source: Proceedings of the AAAI Conference on Artificial Intelligence

DOI: 10.1609/aaai.v30i1.9861

Authors: Todd Neller, Laura Brown, James Marshall, Lisa Torrey, Nate Derbinsky, Andrew Ward, Thomas Allen, Judy Goldsmith, Nahom Muluneh

Institutions: Gettysburg College, Michigan Technological University, Sarah Lawrence College, St. Lawrence University, St. Lawrence University, Wentworth Institute of Technology, University of Kentucky

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: W4300312960

FWCI:

Cites: 11

Cited by:

Related to: 10