A meta-analysis of the impact of mobile learning on mathematics achievement
Resource type
Journal Article
Authors/contributors
- Güler, Mustafa (Author)
- Bütüner, Suphi Önder (Author)
- Danişman, Şahin (Author)
- Gürsoy, Kadir (Author)
Title
A meta-analysis of the impact of mobile learning on mathematics achievement
Abstract
The technological developments of the twenty-first century have enabled the emergence of alternative teaching-learning models and instructional tools. One of the concepts brought about by such developments is mobile learning. The aim of this study was to test the effect of mobile learning on students’ mathematics achievement. A systematic database search that included the Academic Search Complete, Education Resources Information Center (ERIC), EBSCO, JSTOR, ScienceDirect, Taylor & Francis Online, and Web of Science was carried out to examine peer-reviewed articles that met the inclusion criteria. A total of 22 quantitative research papers published between 2010 and 2020 were included in the meta-analysis. The results show that mobile learning has a medium-level positive effect (g = 0.476; p < .001; with a 95% confidence interval of 0.335–0.616) on students’ mathematics achievement. Moderator analyses showed that the effect sizes were not significantly moderated by grade level and implementer, while content area was found to be a moderator. Based on the results, some suggestions are offered for future studies in designed learning environments.
Publication
Education and Information Technologies
Volume
27
Issue
2
Pages
1725-1745
Date
03/2022
Journal Abbr
Educ Inf Technol
Language
en
ISSN
1360-2357, 1573-7608
Accessed
27/09/2022, 11:49
Library Catalogue
DOI.org (Crossref)
Citation
Güler, M., Bütüner, S. Ö., Danişman, Ş., & Gürsoy, K. (2022). A meta-analysis of the impact of mobile learning on mathematics achievement. Education and Information Technologies, 27(2), 1725–1745. https://doi.org/10.1007/s10639-021-10640-x
Outcome measure
Instructional domain (subject)
School or home
Moderating variables
Tech Hardware
Tech Software
Teacher Pedagogy
Research methods
Effect size/ heterogeneity
HIC/LMIC
Quality of research
Geography if specific
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