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Entropy 2010, 12(7), 1653-1672; doi:10.3390/e12071653

Entropy and Energy in Characterizing the Organization of Concept Maps in Learning Science

Department of Physics, University of Helsinki, P.O. Box 64, FI-00014 University of Helsinki, Finland
Author to whom correspondence should be addressed.
Received: 16 March 2010 / Accepted: 21 June 2010 / Published: 24 June 2010
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Knowledge structures are often represented in the form of networks or maps of concepts. The coherence and connectivity of such knowledge representations is known to be closely related to knowledge production, acquisition and processing. In this study we use network theory in making the clustering and cohesion of concept maps measurable, and show how the distribution of these properties can be interpreted through the Maximum Entropy (MaxEnt) method. This approach allows to introduce new concepts of the “energy of cognitive load” and the “entropy of knowledge organization” to describe the organization of knowledge in the concept maps. View Full-Text
Keywords: networks; thermodynamics; knowledge representation; concept maps networks; thermodynamics; knowledge representation; concept maps

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This is an open access article distributed under the Creative Commons Attribution License (CC BY 3.0).

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MDPI and ACS Style

Koponen, I.T.; Pehkonen, M. Entropy and Energy in Characterizing the Organization of Concept Maps in Learning Science. Entropy 2010, 12, 1653-1672.

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