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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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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 meta-analysis maps the evidence on the effectiveness of instructional approaches and conditions for learning computer programming under three study conditions: (a) Studies focusing on the effectiveness of programming interventions per se, (b) studies focusing on the effectiveness of visualization and physicality, and (c) studies focusing on the effectiveness of dominant instructional approaches. Utilizing the data from 139 interventions and 375 effect sizes, we found (a) a strong effect...
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Dynamic geometry software (DGS) aims to enhance mathematics education. This systematic review and meta-analysis evaluated the quasi-experimental studies on the effectiveness of DGS-based instruction in improving students’ mathematical achievement. Research articles published between 1990 and 2013 were identified from major databases according to a prespecified search strategy and selection criteria. A meta-analysis was conducted based on the random-effects model to evaluate the effectiveness...
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