Paper Title:
Construct Knowledge Structure of Linear Algebra
  Abstract

Apply interpretive structural modeling to construct knowledge structure of linear algebra. New fuzzy clustering algorithms improved fuzzy c-means algorithm based on Mahalanobis distance has better performance than fuzzy c-means algorithm. Each cluster of data can easily describe features of knowledge structures individually. The results show that there are six clusters and each cluster has its own cognitive characteristics. The methodology can improve knowledge management in classroom more feasible.

  Info
Periodical
Advanced Materials Research (Volumes 211-212)
Edited by
Ran Chen
Pages
793-797
DOI
10.4028/www.scientific.net/AMR.211-212.793
Citation
C. C. Chen, Y. H. Lin, J. M. Yih, S. F. Huang, "Construct Knowledge Structure of Linear Algebra", Advanced Materials Research, Vols. 211-212, pp. 793-797, 2011
Online since
February 2011
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Price
$32.00
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