Construct Knowledge Structure of Linear Algebra
Chin Chun Chen, Yuan Horng Lin, Jeng-Ming Yih, Sue Fen Huang · Advanced materials research · 2011
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.