Technology's impact on language learning: Meta-analysis on variables and effectiveness Article Swipe
YOU?
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· 2024
· Open Access
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· DOI: https://doi.org/10.11591/edulearn.v18i2.21119
This study explores the correlation between technology utilization and language acquisition while analyzing the impact of moderating variables on this relation. Our meta-analysis approach analyzes data from 43 extracts out of 19 primary studies published between 2012 and 2021. Our data analysis employs a random-effect model utilizing a significance level of α = 0.05. Additionally, the authors examine four moderating variables: level of education, location of research, proficiency in language, and year of publication. Technology-based language acquisition outperforms traditional methods, indicating a significant and moderate impact on the learning process. This study enhances comprehension of the efficacy of technology in language acquisition by identifying various factors, such as the geographical location of research, methods of assessing language proficiency, and technology type employed. However, there is insufficient evidence to support the notion that educational level or sample size significantly impact technology-based language acquisition. This meta-analysis highlights the importance of considering nuanced factors when integrating technology into language learning. The findings emphasize the possibility of technology to transform methods of acquiring language and urge additional investigation into customized strategies that optimize its advantages.
Related Topics
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.11591/edulearn.v18i2.21119
- http://edulearn.intelektual.org/index.php/EduLearn/article/download/21119/10384
- OA Status
- hybrid
- Cited By
- 5
- References
- 71
- Related Works
- 10
- OpenAlex ID
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Raw OpenAlex JSON
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https://openalex.org/W4391906073Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.11591/edulearn.v18i2.21119Digital Object Identifier
- Title
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Technology's impact on language learning: Meta-analysis on variables and effectivenessWork title
- Type
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articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2024Year of publication
- Publication date
-
2024-02-17Full publication date if available
- Authors
-
Syarief Fajaruddin, Heri Retnawati, Caly Setiawan, Ezi Apino, Janu Arlinwibowo, Dzul RachmanList of authors in order
- Landing page
-
https://doi.org/10.11591/edulearn.v18i2.21119Publisher landing page
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https://edulearn.intelektual.org/index.php/EduLearn/article/download/21119/10384Direct link to full text PDF
- Open access
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YesWhether a free full text is available
- OA status
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hybridOpen access status per OpenAlex
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https://edulearn.intelektual.org/index.php/EduLearn/article/download/21119/10384Direct OA link when available
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Psychology, Mathematics education, Meta-analysis, Linguistics, Philosophy, Internal medicine, MedicineTop concepts (fields/topics) attached by OpenAlex
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5Total citation count in OpenAlex
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2025: 4, 2024: 1Per-year citation counts (last 5 years)
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71Number of works referenced by this work
- Related works (count)
-
10Other works algorithmically related by OpenAlex
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