Abstract
Sketching can be a valuable tool for science education, but it is currently underutilized. Sketch worksheets were developed to help change this, by using AI technology to give students immediate feedback and to give instructors assistance in grading. Sketch worksheets use visual representations automatically computed by CogSketch, which are combined with conceptual information from the OpenCyc ontology. Feedback is provided to students by comparing an instructor's sketch to a student's sketch, using the Structure-Mapping Engine. This paper describes our experiences in deploying sketch worksheets in two types of classes: Geoscience and AI. Sketch worksheets for introductory geoscience classes were developed by geoscientists at University of Wisconsin-Madison, authored using CogSketch and used in classes at both Wisconsin and Northwestern University. Sketch worksheets were also developed and deployed for a knowledge representation and reasoning course at Northwestern. Our experience indicates that sketch worksheets can provide helpful on-the-spot feedback to students, and significantly improve grading efficiency, to the point where sketching assignments can be more practical to use broadly in STEM education.
Original language | English (US) |
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Title of host publication | 32nd AAAI Conference on Artificial Intelligence, AAAI 2018 |
Publisher | AAAI Press |
Pages | 7665-7672 |
Number of pages | 8 |
ISBN (Electronic) | 9781577358008 |
State | Published - 2018 |
Event | 32nd AAAI Conference on Artificial Intelligence, AAAI 2018 - New Orleans, United States Duration: Feb 2 2018 → Feb 7 2018 |
Publication series
Name | 32nd AAAI Conference on Artificial Intelligence, AAAI 2018 |
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Other
Other | 32nd AAAI Conference on Artificial Intelligence, AAAI 2018 |
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Country/Territory | United States |
City | New Orleans |
Period | 2/2/18 → 2/7/18 |
Funding
This work was supported by the NSF-funded Spatial Intelligence and Learning Center, Award # SBE-1041707.
ASJC Scopus subject areas
- Artificial Intelligence