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

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

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Received: 16 March 2010; Accepted: 21 June 2010 / Published: 24 June 2010
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Abstract: 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.
Keywords: networks; thermodynamics; knowledge representation; concept maps networks; thermodynamics; knowledge representation; concept maps
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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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.

AMA Style

Koponen IT, Pehkonen M. Entropy and Energy in Characterizing the Organization of Concept Maps in Learning Science. Entropy. 2010; 12(7):1653-1672.

Chicago/Turabian Style

Koponen, Ismo T.; Pehkonen, Maija. 2010. "Entropy and Energy in Characterizing the Organization of Concept Maps in Learning Science." Entropy 12, no. 7: 1653-1672.


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