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The Effect of Digital Stories on Academic Achievement: A Meta-Analysis
Resource type
Journal Article
Authors/contributors
- Akgün, Muhterem (Author)
- Akgün, İsmail Hakan (Author)
Title
The Effect of Digital Stories on Academic Achievement: A Meta-Analysis
Abstract
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 whether the studies included in the study were heterogeneous. Random effects model was used to calculate effect size since heterogeneity was determined between studies. At the end of the study, it was seen that the general effect size (Hedge’s g = 1.081) regarding the effect of digital stories on academic achievement was strong, that there was a positive effect in all areas according to the lessons which was higher for Science. It was also observed that the effect was positive in all dimensions according to the education level, there was a difference between the education levels and the highest effect occurred at university and middle school levels.
Publication
Journal of Education and Learning
Volume
9
Issue
6
Pages
71
Date
2020-11-12
Journal Abbr
JEL
Language
en
ISSN
1927-5269, 1927-5250
Short Title
The Effect of Digital Stories on Academic Achievement
Accessed
27/09/2022, 11:59
Library Catalogue
DOI.org (Crossref)
Citation
Akgün, M., & Akgün, İ. H. (2020). The Effect of Digital Stories on Academic Achievement: A Meta-Analysis. Journal of Education and Learning, 9(6), 71. https://doi.org/10.5539/jel.v9n6p71
Outcome measure
Instructional domain (subject)
Education Level and Type
Moderating variables
Tech Hardware
Effect size/ heterogeneity
Quality of research
Geography if specific
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