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This meta-analysis extended the current literature regarding the effects of computer technology (CT) on mathematics achievement, with a particular focus on low-performing students. A total of 45 independent effect sizes extracted from 31 empirical studies based on a total of 2,044 low-performing students in K-12 classrooms were included in this meta-analysis. Consistent with previous reviews, this study suggested a statistically significant and positive effect of CT ([Formula: see...
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The present article attempts to reinterpret the findings of most recent studies investigating effect of using games for teaching purposes. A methodological approach combining a meta-analysis of quantitative data with qualitative ones was adopted in order to present the broadest picture of the current research on educational use of games. To this end, we conducted a meta-analysis of 180 effect size comparisons out of 154 empirical studies on the effect of both digital and non-digital games on...
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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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This article reports the results of a meta-analysis of technology-based intervention studies for children with autism spectrum disorders. We conducted a systematic review of research that used a pre–post design to assess innovative technology interventions, including computer programs, virtual reality, and robotics. The selected studies provided interventions via a desktop computer, interactive DVD, shared active surface, and virtual reality. None employed robotics. The results provide...
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