Measuring Effectiveness in Digital Game-Based Learning: A Methodological Review.

Authors

  • Anissa All iMinds-MICT-Ghent University
  • Elena Patricia Nunez Castellar iMinds-MICT-Ghent University
  • Jan Van Looy iMinds-MICT-Ghent University

DOI:

https://doi.org/10.17083/ijsg.v1i2.18

Keywords:

Digital Game-Based Learning, Effectiveness assessment, cognitive learning outcomes

Abstract

In recent years, a growing number of studies are being conducted into the effectiveness of digital game-based learning (DGBL). Despite this growing interest, there is a lack of sound empirical evidence on the effectiveness of DGBL due to different outcome measures for assessing effectiveness, varying methods of data collection and inconclusive or difficult to interpret results. This has resulted in a need for an overarching methodology for assessing the effectiveness of DGBL. The present study took a first step in this direction by mapping current methods used for assessing the effectiveness of DGBL. Results showed that currently, comparison of results across studies and thus looking at effectiveness of DGBL on a more general level is problematic due to diversity in and suboptimal study designs. Variety in study design relates to three issues, namely different activities that are implemented in the control groups, different measures for assessing the effectiveness of DGBL and the use of different statistical techniques for analyzing learning outcomes. Suboptimal study designs are the result of variables confounding study results. Possible confounds that were brought forward in this review are elements that are added to the game as part of the educational intervention (e.g., required reading, debriefing session), instructor influences and practice effects when using the same test pre- and post-intervention. Lastly, incomplete information on the study design impedes replication of studies and thus falsification of study results.

Author Biographies

  • Anissa All, iMinds-MICT-Ghent University

    Anissa All graduated in July 2011 as a Master New Media & Society at Ghent University. In February 2011 Anissa followed an internship at MICT. Since July 2011 she is part of the MICT team a junior researcher, working on living lab research and projects concerning digital game-based learning.

    Since January 2013, Anissa is working on a PhD through a IWT grant. In this PhD research, she will develop a standard procedure to measure effectiveness of serious games aimed at cognitive learning outcomes. 

  • Elena Patricia Nunez Castellar, iMinds-MICT-Ghent University

    Elena Núñez Castellar received her degree in Psychology at the Universidad Nacional de Colombia in 2006. During the last year of her studies she worked as a clinical neuropsychology assistant getting expertise in the selection and interpretation of standardized neuropsychological tests. In 2011 she obtained her degree of Doctor in Psychology from the Ghent University. During her PhD she got broad experience with research methods in cognitive neuroscience, namely EEG (electro-encephalography) and reaction times research. Since 2012 she joined the research group for Media & ICT (iMinds-MICT). She conducts experimental studies to evaluate the effectiveness of educational games and quality of experience in immersive media.

  • Jan Van Looy, iMinds-MICT-Ghent University

    Jan Van Looy is assistant professor at the research group for Media and ICT (iMinds-MICT) at Ghent University, Belgium, where his team conducts multidisciplinary research into digital games and immersive media. Topics include digital game usage and experience, serious game effectiveness, serious games for raising awareness of societal issues, for language learning, for mathematics education, for increasing traffic safety and for improving energy efficiency, gender and gaming, stereoscopic and omnidirectional video.

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Published

2014-06-19

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How to Cite

Measuring Effectiveness in Digital Game-Based Learning: A Methodological Review. (2014). International Journal of Serious Games, 1(2). https://doi.org/10.17083/ijsg.v1i2.18