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Kerr, Deirdre; Chung, Gregory K. W. K.; Iseli, Markus R. – National Center for Research on Evaluation, Standards, and Student Testing (CRESST), 2011
Analyzing log data from educational video games has proven to be a challenging endeavor. In this paper, we examine the feasibility of using cluster analysis to extract information from the log files that is interpretable in both the context of the game and the context of the subject area. If cluster analysis can be used to identify patterns of…
Descriptors: Video Games, Multivariate Analysis, Data Analysis, Context Effect