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Kerr, Deirdre – Journal of Educational Data Mining, 2015
This study uses information about in-game strategy use, identified through cluster analysis of actions in an educational video game, to make data-driven modifications to the game in order to reduce construct-irrelevant behavior. The examination of student strategies identified through cluster analysis indicated that (a) it was common for students…
Descriptors: Information Retrieval, Data Analysis, Video Games, Educational Games
Kerr, Deirdre – National Center for Research on Evaluation, Standards, and Student Testing (CRESST), 2014
Educational video games provide an opportunity for students to interact with and explore complex representations of academic content and allow for the examination of problem-solving strategies and mistakes that can be difficult to capture in more traditional environments. However, data from such games are notoriously difficult to analyze. This…
Descriptors: Identification, Misconceptions, Scoring Rubrics, Educational Games
Kerr, Deirdre; Chung, Gregory K. W. K. – National Center for Research on Evaluation, Standards, and Student Testing (CRESST), 2012
Though video games are commonly considered to hold great potential as learning environments, their effectiveness as a teaching tool has yet to be determined. One reason for this is that researchers often run into the problem of multicollinearity between prior knowledge, in-game performance, and posttest scores, thereby making the determination of…
Descriptors: Prior Learning, Video Games, Educational Games, Pretests Posttests

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