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

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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
Original languageEnglish
JournalEntropy
Volume19
Pages (from-to)1653-1672
Number of pages20
ISSN1099-4300
DOIs
Publication statusPublished - 2010
MoE publication typeA1 Journal article-refereed

Fields of Science

  • 114 Physical sciences

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