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

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http://hdl.handle.net/10138/230924

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Koponen , I & Pehkonen , M 2010 , ' Entropy and Energy in Characterizing the Organization of Concept Maps in Learning Science ' , Entropy , vol. 19 , pp. 1653-1672 . https://doi.org/10.3390/e12071653

Title: Entropy and Energy in Characterizing the Organization of Concept Maps in Learning Science
Author: Koponen, Ismo; Pehkonen, Maija
Contributor: University of Helsinki, Department of Physics
University of Helsinki, Department of Physics
Date: 2010
Language: eng
Number of pages: 20
Belongs to series: Entropy
ISSN: 1099-4300
URI: http://hdl.handle.net/10138/230924
Abstract: 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
Subject: 114 Physical sciences
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