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Download full textXu, Beijie; Recker, Mimi; Qi, Xiaojun; Flann, Nicholas; Ye, Lei – Journal of Educational Data Mining, 2013
This article examines clustering as an educational data mining method. In particular, two clustering algorithms, the widely used K-means and the model-based Latent Class Analysis, are compared, using usage data from an educational digital library service, the Instructional Architect (IA.usu.edu). Using a multi-faceted approach and multiple data…
Descriptors: Electronic Libraries, Use Studies, Multivariate Analysis, Data Analysis
