TY - GEN
T1 - Sketch worksheets in STEM classrooms
T2 - 32nd AAAI Conference on Artificial Intelligence, AAAI 2018
AU - Forbus, Kenneth D
AU - Garnier, Bridget
AU - Tikoff, Basil
AU - Marko, Wayne
AU - Usher, Madeline
AU - McLure, Matthew
N1 - Funding Information:
This work was supported by the NSF-funded Spatial Intelligence and Learning Center, Award # SBE-1041707.
PY - 2018
Y1 - 2018
N2 - 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.
AB - 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.
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M3 - Conference contribution
AN - SCOPUS:85060481808
T3 - 32nd AAAI Conference on Artificial Intelligence, AAAI 2018
SP - 7665
EP - 7672
BT - 32nd AAAI Conference on Artificial Intelligence, AAAI 2018
PB - AAAI Press
Y2 - 2 February 2018 through 7 February 2018
ER -