The Effect of Computer-Supported Collaborative Learning on Academic Achievement: A Meta-Analysis Study

Tarık Talan
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This study aims to examine the effectiveness of Computer-Supported Collaborative Learning (CSCL) on academic achievement. The study was conducted using the meta-analysis method. In the present study, a total of 40 studies that were carried out between 2010 and 2020 and met the inclusion criteria were subjected to meta-analysis. In the present study, the values of the effect size and combined effect size of each study included in the meta-analysis were calculated using Comprehensive Meta-Analysis (CMA) software. The sample of the study consists of 3474 participants. The results of the study revealed that the studies were usually conducted at the university stage with a medium sample size, and published as articles. It was also revealed that most of the studies were carried out in the field of sciences and social sciences. Considering the intervention durations, it was observed that the studies were particularly carried out within a period between 1 and 4 weeks (37.8%). According to the results of the analysis, the average effect size was calculated as 0.523. Considering the results, it can be stated that CSCL has a positive and moderate effect on academic achievement. Also, the results of the moderator analysis revealed that the effect of CSCL on academic achievement did not change by the learning stage, domain subject, and the sample size but it changed by the intervention duration.


Collaborative learning, Computer-supported collaborative learning, CSCL, Academic success, Meta-analysis

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Talan, T. (2021). The effect of computer-supported collaborative learning on academic achievement: A meta-analysis study. International Journal of Education in Mathematics, Science, and Technology (IJEMST), 9(3), 426-448.



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International Journal of Education in Mathematics, Science and Technology (IJEMST) 
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Editors: Ismail Sahin & Mack Shelley

Place of Publication: Turkey & Name of Publisher: Ismail Sahin

ISSN: 2147-611X (Online)