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

Entropy

Ismo T. Koponen¹ 

[1] Department of Physics, University of Helsinki, P.O. Box 64, FI-00014 University of Helsinki, Finland

关键词: networks;    thermodynamics;    knowledge representation;    concept maps;   

DOI  :  10.3390/e12071653

来源: mdpi

【 摘 要 】

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.

【 授权许可】

CC BY   
This is an open access article distributed under the Creative Commons Attribution License (CC BY) which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.