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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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The purpose of this study is to determine the effect of digital stories on academic achievement. In order to achieve this purpose, meta analysis method was used in the study. Within the scope of the study, ERIC, Google Academic, YÖK Thesis Center, ProQuest, Science Direct and ULAKBİM databases were scanned and 23 studies (10 theses, 13 articles) were included in the meta-analysis using the criteria determined by the researchers. Cochran’s X2 (Q = 285,155, p < .05) test was conducted to test...
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The purpose of this work was to meta-analyze empirical evidence about the effectiveness of digital-based interventions for students with mathematical learning difficulties. Furthermore, we investigated whether the school level of the participants and the software instructional approach were decisive modulated factors. A systematic search of randomized controlled studies published between 2003 and 2019 was conducted. A total of 15 studies with 1073 participants met the study selection...
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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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