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What
is in the GetSmart System?
How
do you build a concept map in GetSmart?
Would
you like to see some interesting examples?
| Research
Goal |
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GetSmart
is intended to integrate curriculum support, search functions,
and knowledge visualization tools in a digital library,
learning-oriented environment.
The
National Science Digital Library (NSDL), launched in December
2002, is emerging as a center of innovation in digital libraries
as applied to education. As a part of this extensive project,
the GetSmart system was created to apply knowledge management
techniques in a learning environment. The design of the
system is based on an analysis of learning theory and the
information search process. Its key notion is the integration
of search tools and curriculum support with concept mapping.
More than 100 students at the
University
of
Arizona and Virginia Polytechnic Institute used the
system in the fall of 2002. A database of more than one
thousand student-prepared concept maps has been collected
with more than forty thousand relationships expressed in
semantic, graphical, node-link representations. Preliminary
analysis of the collected data is revealing interesting
knowledge representation patterns.
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| Funding |
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NSF National
SMETE Digital Library: “Intelligent Collection Services for
and about Educators and Students: Logging, Spidering, Analysis
and Visualization” Award
No. DUE-0121741, Program 7444. September 2001-August 2003.
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| Acknowledgements |
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Related Projects:
We would
like to thank the NSF for supporting this project.
We would
also like to thank Rao Shen in Virginia, the GetSmart team
and the other members of the Artificial Intelligence Lab
at the University
of Arizona
who developed modules used in this system.
User evaluation
surveys have been conducted with the help of Dr. Lillian
Cassel
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| Approach
& Methodology |
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Concept
mapping has been identified in many educational psychology
studies as a useful technique to enhance learning. Visual
node and link semantic graphs have been applied to numerous
knowledge-related lines of investigation including: as an
assistant tool for individual learning (Novak, 1984), as an
evaluation of learning effectiveness (Stanford Education Assessment
Laboratory, 1992), as a group communication tool (Trochim,
1989), Organizing hypermedia resources using concept map (Carnot
et al., 2000), Online collaboration through concept mapping
(Gains et al. 1995), etc
. The GetSmart
system brings together basic curriculum functions, concept
mapping and advanced information retrieval techniques in a
web-based learning environment.
Current
lines of research include the provision of concept maps as
OAI objects, analysis of the relationship of source texts
to human-drawn concept maps, and the categorization of human-created
link labels into semantically similar link types. One important
goal is to support the accumulation of knowledge using matching
and merging algorithms and to increase the usefulness of text
resources by creating concept maps from text.
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| Team
Members |
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| Publications |
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Byron Marshall, Yiwen Zhang, Hsinchun Chen, Ann Lally, Rao
Shen, Edward Fox and Lillian Cassel
“Knowledge Management and E-Learning: the GetSmart
Experience”
Presented at the Third ACM and IEEE Joint Conference on
Digital Libraries (JCDL-2003), Houston, May 2003.
“Element
Matching in Concept Maps”, Byron Marshall, Therani
Madhusudan , Accepted, to be presented at the fourth ACM
and IEEE Joint Conference on Digital Libraries (JCDL-2004)
June 7-11, Tucson, AZ
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