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Previous empirical studies on the effect of scaffolding in game-based learning environments have shown inconsistent findings. In this study, we conducted a meta-analysis to examine the effect of scaffolding in digital game-based learning (DGBL) and to explore a range of moderating factors that may have contributed to the inconsistencies of primary studies. We used the three-level meta-analysis method to analyze the data for handling data non-dependency issues of multiple effect sizes in one...
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Digital game-based learning (DGBL) is known to be widely used for improving learning in various fields. Among the elements of DGBL, competition has been very controversial. This meta-analysis, which included 25 articles written between 2008 and 2019, revealed that DGBL has produced improvements for learning outcomes with an overall effect size of .386. In addition, we explored multiple moderators to understand how competition in DGBL influenced student learning for different learners,...
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In this meta-analysis, we systematically reviewed research on digital games and learning for K–16 students. We synthesized comparisons of game versus nongame conditions (i.e., media comparisons) and comparisons of augmented games versus standard game designs (i.e., value-added comparisons). We used random-effects meta-regression models with robust variance estimates to summarize overall effects and explore potential moderator effects. Results from media comparisons indicated that digital...
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