Cmap
Assessing Diversity and Similarity of Conceptual Understanding Via Semi- Automated Semantic Analysis of Concept Maps

Derbentseva, Natalia and Kwantes, Peter and Mandel, David R. (2012) Assessing Diversity and Similarity of Conceptual Understanding Via Semi- Automated Semantic Analysis of Concept Maps. In: Concept Maps: Theory, Methodology, Technology. Proc. of the Fifth Int. Conference on Concept Mapping. University of Malta, Valetta, Malta, pp. 41-48. ISBN 978-99957-0-308-0

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Abstract

The development of common conceptual understanding is one of the essential steps in professionalization of a field of practice. To support this process, we collected Concept Maps (CMaps) from practitioners in the field answering the same focus question. Our goal was to expose variability in the understanding of the concept under investigation and to identify common themes, which could be later taken as the basis for the development of a common definition. Collected maps were open-ended, they consisted of varying numbers of concepts and propositions, had different structures, and had little overlap of concepts and concept connections. In order to extract common themes from this set of maps, we used Latent Semantic Analysis to compare CMaps’ semantic elements (e.g., concepts, propositions and maps) to each other. Based on this semi-automated analysis we were able to extract a set of concepts and propositions that are semantically representative of the collection.

Item Type: Book Section
Uncontrolled Keywords: Paper, CMC2012
Subjects: L Education > L Education (General)
Q Science > QA Mathematics > QA76 Computer software
U Military Science > U Military Science (General)
Divisions: UNSPECIFIED
Depositing User: Mr. Ernest Prats
Date Deposited: 06 Sep 2012 21:05
Last Modified: 30 Sep 2012 11:27
URI: http://eprint.ihmc.us/id/eprint/220

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