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Seventh IEEE International Conference on Advanced Learning Technologies (ICALT 2007)
Using Graphical Models to Unobtrusively Assess Student Performance in Educational Image Processing Activities
Niigata, Japan
July 18-July 20
ISBN: 0-7695-2916-X
ASCII Text
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Steven Tanimoto, Nathan Evans, Adam Carlson, "Using Graphical Models to Unobtrusively Assess Student Performance in Educational Image Processing Activities," Advanced Learning Technologies, IEEE International Conference on, pp. 848-852, Seventh IEEE International Conference on Advanced Learning Technologies (ICALT 2007), 2007.
 
 
BibTex
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@article{ 10.1109/ICALT.2007.276,
author = {Steven Tanimoto and Nathan Evans and Adam Carlson},
title = {Using Graphical Models to Unobtrusively Assess Student Performance in Educational Image Processing Activities},
journal ={Advanced Learning Technologies, IEEE International Conference on},
volume = {0},
year = {2007},
isbn = {0-7695-2916-X},
pages = {848-852},
doi = {http://doi.ieeecomputersociety.org/10.1109/ICALT.2007.276},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
x 
 
TY - CONF
JO - Advanced Learning Technologies, IEEE International Conference on
TI - Using Graphical Models to Unobtrusively Assess Student Performance in Educational Image Processing Activities
SN - 0-7695-2916-X
SP848
EP852
A1 - Steven Tanimoto,
A1 - Nathan Evans,
A1 - Adam Carlson,
PY - 2007
KW - null
VL - 0
JA - Advanced Learning Technologies, IEEE International Conference on
ER -
 
Steven Tanimoto, University of Washington
Nathan Evans, Ecole Polytechnique Federale de Lausanne, France
Adam Carlson, Amazon.com
Unobtrusive educational assessment is a means of measuring student progress using the byproducts of authentic learning activities. It is difficult to perform well. Using a new technology based on graphical models, unobtrusive assessment can become more practical. We describe how we apply our techniques in teaching image processing to undergraduates. Our methods for unobtrusive assessment are applicable when learning activities are computer-based and involve the manipulation of tools such as construction kits, simulations, and programming languages.
Citation:
Steven Tanimoto, Nathan Evans, Adam Carlson, "Using Graphical Models to Unobtrusively Assess Student Performance in Educational Image Processing Activities," icalt, pp.848-852, Seventh IEEE International Conference on Advanced Learning Technologies (ICALT 2007), 2007
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