Mapping the Evolution of Computer‐Assisted Language Learning Research: A 44‐Year Bibliometric Overview.
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| Title: | Mapping the Evolution of Computer‐Assisted Language Learning Research: A 44‐Year Bibliometric Overview. |
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| Authors: | Mohsen, Mohammed Ali1 (AUTHOR) mamohsen@nu.edu.sa, Althebi, Sultan1 (AUTHOR), Qadhi, Saba2 (AUTHOR) |
| Source: | European Journal of Education. Jun2025, Vol. 60 Issue 2, p1-13. 13p. |
| Subject Terms: | *Computers in education, *Citation analysis, *Teaching methods, *Language research, *Bibliometrics, *Citation indexes, *Bibliotherapy, Databases |
| Abstract: | This bibliometric analysis explores the evolution of Computer‐Assisted Language Learning (CALL) research spanning from 1979 to 2023. The study meticulously examines various metrics of CALL research across the past four decades, focusing on geographical and institutional productivity, citation impact, and the thematic co‐occurrence of keywords. Employing a dataset comprising 5630 articles sourced from the Scopus database, the study leverages bibliometric tools such as VOSviewer, CiteSpace, and Bibexcel for analysis. The results highlight a notable growth in CALL research, culminating in 613 articles published in 2023. Computers & Education Journal and journals specialising in CALL have emerged as primary platforms for high‐impact publications, with the Language Learning & Technology Journal standing out due to its high citation frequency. English‐speaking countries lead in the research landscape, with Taiwan and China also showing significant productivity. The analysis points to an increased focus on flipped learning over the past 7 years, with vocabulary and writing being the most studied language skills. Mobile‐assisted Language Learning (MALL) prevails as the dominant technological modality, while Computer‐Mediated Communication (CMC) ranks as the most impactful pedagogical strategy. Overall, this bibliometric analysis offers comprehensive insights into the trajectory, key contributors, significant publications, and influential themes within CALL research over the last four decades, thereby providing valuable guidance for future research in this field. [ABSTRACT FROM AUTHOR] |
| Copyright of European Journal of Education is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Database: | Education Research Complete |
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| Header | DbId: ehh DbLabel: Education Research Complete An: 185619836 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Mapping the Evolution of Computer‐Assisted Language Learning Research: A 44‐Year Bibliometric Overview. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Mohsen%2C+Mohammed+Ali%22">Mohsen, Mohammed Ali</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> mamohsen@nu.edu.sa</i><br /><searchLink fieldCode="AR" term="%22Althebi%2C+Sultan%22">Althebi, Sultan</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Qadhi%2C+Saba%22">Qadhi, Saba</searchLink><relatesTo>2</relatesTo> (AUTHOR) – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22European+Journal+of+Education%22">European Journal of Education</searchLink>. Jun2025, Vol. 60 Issue 2, p1-13. 13p. – Name: Subject Label: Subject Terms Group: Su Data: *<searchLink fieldCode="DE" term="%22Computers+in+education%22">Computers in education</searchLink><br />*<searchLink fieldCode="DE" term="%22Citation+analysis%22">Citation analysis</searchLink><br />*<searchLink fieldCode="DE" term="%22Teaching+methods%22">Teaching methods</searchLink><br />*<searchLink fieldCode="DE" term="%22Language+research%22">Language research</searchLink><br />*<searchLink fieldCode="DE" term="%22Bibliometrics%22">Bibliometrics</searchLink><br />*<searchLink fieldCode="DE" term="%22Citation+indexes%22">Citation indexes</searchLink><br />*<searchLink fieldCode="DE" term="%22Bibliotherapy%22">Bibliotherapy</searchLink><br /><searchLink fieldCode="DE" term="%22Databases%22">Databases</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: This bibliometric analysis explores the evolution of Computer‐Assisted Language Learning (CALL) research spanning from 1979 to 2023. The study meticulously examines various metrics of CALL research across the past four decades, focusing on geographical and institutional productivity, citation impact, and the thematic co‐occurrence of keywords. Employing a dataset comprising 5630 articles sourced from the Scopus database, the study leverages bibliometric tools such as VOSviewer, CiteSpace, and Bibexcel for analysis. The results highlight a notable growth in CALL research, culminating in 613 articles published in 2023. Computers & Education Journal and journals specialising in CALL have emerged as primary platforms for high‐impact publications, with the Language Learning & Technology Journal standing out due to its high citation frequency. English‐speaking countries lead in the research landscape, with Taiwan and China also showing significant productivity. The analysis points to an increased focus on flipped learning over the past 7 years, with vocabulary and writing being the most studied language skills. Mobile‐assisted Language Learning (MALL) prevails as the dominant technological modality, while Computer‐Mediated Communication (CMC) ranks as the most impactful pedagogical strategy. Overall, this bibliometric analysis offers comprehensive insights into the trajectory, key contributors, significant publications, and influential themes within CALL research over the last four decades, thereby providing valuable guidance for future research in this field. [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of European Journal of Education is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.) |
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| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1111/ejed.70051 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 13 StartPage: 1 Subjects: – SubjectFull: Computers in education Type: general – SubjectFull: Citation analysis Type: general – SubjectFull: Teaching methods Type: general – SubjectFull: Language research Type: general – SubjectFull: Bibliometrics Type: general – SubjectFull: Citation indexes Type: general – SubjectFull: Bibliotherapy Type: general – SubjectFull: Databases Type: general Titles: – TitleFull: Mapping the Evolution of Computer‐Assisted Language Learning Research: A 44‐Year Bibliometric Overview. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Mohsen, Mohammed Ali – PersonEntity: Name: NameFull: Althebi, Sultan – PersonEntity: Name: NameFull: Qadhi, Saba IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 06 Text: Jun2025 Type: published Y: 2025 Identifiers: – Type: issn-print Value: 01418211 Numbering: – Type: volume Value: 60 – Type: issue Value: 2 Titles: – TitleFull: European Journal of Education Type: main |
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