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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
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Kerr, Deirdre; Chung, Gregory K. W. K. – Journal of Educational Data Mining, 2012
The assessment cycle of "evidence-centered design" (ECD) provides a framework for treating an educational video game or simulation as an assessment. One of the main steps in the assessment cycle of ECD is the identification of the key features of student performance. While this process is relatively simple for multiple choice tests, when…
Descriptors: Evidence Based Practice, Design, Academic Achievement, Educational Games
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
Kerr, Deirdre; Chung, Gregory K. W. K. – National Center for Research on Evaluation, Standards, and Student Testing (CRESST), 2013
Student mathematical errors are rarely random and often occur because students are applying procedures that they believe to be accurate. Traditional approaches often view such errors as indicators of students' failure to understand the construct in question, but some theorists view errors as opportunities for students to expand their mental model…
Descriptors: Educational Games, Video Games, Mathematics, Misconceptions
Wainess, Richard; Kerr, Deirdre; Koenig, Alan – National Center for Research on Evaluation, Standards, and Student Testing (CRESST), 2011
One of the reasons why commercial video games are popular is that they effectively teach players how to play the game--in many cases as the player plays the game itself. This paper focuses on how to effectively integrate teaching "how to play a game" with teaching an "instructional domain" within a game for learning. By analyzing more than 30…
Descriptors: Video Games, Teaching Methods, Educational Games, Feedback (Response)
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
Wainess, Richard; Koenig, Alan; Kerr, Deirdre – National Center for Research on Evaluation, Standards, and Student Testing (CRESST), 2011
Effective design of training-related games (games for training and/or assessment) requires synergy between the mechanisms for delivering instructional content and the mechanisms for learning game play and game functionality (Becker, 2006). The learning domain must be embedded as a core game mechanic: that is, the game cannot be advanced or won…
Descriptors: Direct Instruction, Play, Video Games, Educational Games