A Critical Bibliometric Review of Technology-Enhanced Vocabulary Learning: Uncovering a Decade of Tensions and Trends

Saved in:
Bibliographic Details
Title: A Critical Bibliometric Review of Technology-Enhanced Vocabulary Learning: Uncovering a Decade of Tensions and Trends
Language: English
Authors: Dan Feng (ORCID 0009-0000-0750-4648)
Source: SAGE Open. 2025 15(4).
Availability: SAGE Publications. 2455 Teller Road, Thousand Oaks, CA 91320. Tel: 800-818-7243; Tel: 805-499-9774; Fax: 800-583-2665; e-mail: journals@sagepub.com; Web site: https://sagepub.com
Peer Reviewed: Y
Page Count: 15
Publication Date: 2025
Document Type: Journal Articles
Information Analyses
Descriptors: Vocabulary Development, Technology Uses in Education, Educational Research, Educational Trends, Productivity, Authors, Models, Research Methodology, Publications, Citations (References)
DOI: 10.1177/21582440251393196
ISSN: 2158-2440
Abstract: Technology-Enhanced Vocabulary Learning (TEVL) has become a central research area in applied linguistics and language education. While numerous meta-analyses and systematic reviews on TEVL have been conducted, a comprehensive science map illustrating the field's intellectual structure has been lacking. Therefore, the present study aimed to examine the academic output in TEVL from 2014 to 2024 from a bibliometric perspective. Specifically, annual scientific production, influential documents and sources, key authors and countries, and thematic evolution were analyzed based on 3,307 documents from the Web of Science database. The findings reveal that: (a) The study of TEVL has developed rapidly over the past decade, with a significant acceleration in publications after 2020. (b) Research is concentrated in two primary hubs, the United States and China, with growing participation from countries like Turkey and Iran. (c) Thematic trends show a clear evolution from foundational computer- and mobile-assisted learning to emerging frontiers like artificial intelligence (AI), augmented reality (AR), and gamification. (d) Despite technological advancements, the field exhibits persistent methodological limitations and a notable gap between the implicit theoretical underpinnings and explicit research practice.
Abstractor: As Provided
Entry Date: 2026
Accession Number: EJ1495805
Database: ERIC
FullText Text:
  Availability: 0
Header DbId: eric
DbLabel: ERIC
An: EJ1495805
AccessLevel: 3
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
IllustrationInfo
Items – Name: Title
  Label: Title
  Group: Ti
  Data: A Critical Bibliometric Review of Technology-Enhanced Vocabulary Learning: Uncovering a Decade of Tensions and Trends
– Name: Language
  Label: Language
  Group: Lang
  Data: English
– Name: Author
  Label: Authors
  Group: Au
  Data: <searchLink fieldCode="AR" term="%22Dan+Feng%22">Dan Feng</searchLink> (ORCID <externalLink term="https://orcid.org/0009-0000-0750-4648">0009-0000-0750-4648</externalLink>)
– Name: TitleSource
  Label: Source
  Group: Src
  Data: <searchLink fieldCode="SO" term="%22SAGE+Open%22"><i>SAGE Open</i></searchLink>. 2025 15(4).
– Name: Avail
  Label: Availability
  Group: Avail
  Data: SAGE Publications. 2455 Teller Road, Thousand Oaks, CA 91320. Tel: 800-818-7243; Tel: 805-499-9774; Fax: 800-583-2665; e-mail: journals@sagepub.com; Web site: https://sagepub.com
– Name: PeerReviewed
  Label: Peer Reviewed
  Group: SrcInfo
  Data: Y
– Name: Pages
  Label: Page Count
  Group: Src
  Data: 15
– Name: DatePubCY
  Label: Publication Date
  Group: Date
  Data: 2025
– Name: TypeDocument
  Label: Document Type
  Group: TypDoc
  Data: Journal Articles<br />Information Analyses
– Name: Subject
  Label: Descriptors
  Group: Su
  Data: <searchLink fieldCode="DE" term="%22Vocabulary+Development%22">Vocabulary Development</searchLink><br /><searchLink fieldCode="DE" term="%22Technology+Uses+in+Education%22">Technology Uses in Education</searchLink><br /><searchLink fieldCode="DE" term="%22Educational+Research%22">Educational Research</searchLink><br /><searchLink fieldCode="DE" term="%22Educational+Trends%22">Educational Trends</searchLink><br /><searchLink fieldCode="DE" term="%22Productivity%22">Productivity</searchLink><br /><searchLink fieldCode="DE" term="%22Authors%22">Authors</searchLink><br /><searchLink fieldCode="DE" term="%22Models%22">Models</searchLink><br /><searchLink fieldCode="DE" term="%22Research+Methodology%22">Research Methodology</searchLink><br /><searchLink fieldCode="DE" term="%22Publications%22">Publications</searchLink><br /><searchLink fieldCode="DE" term="%22Citations+%28References%29%22">Citations (References)</searchLink>
– Name: DOI
  Label: DOI
  Group: ID
  Data: 10.1177/21582440251393196
– Name: ISSN
  Label: ISSN
  Group: ISSN
  Data: 2158-2440
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: Technology-Enhanced Vocabulary Learning (TEVL) has become a central research area in applied linguistics and language education. While numerous meta-analyses and systematic reviews on TEVL have been conducted, a comprehensive science map illustrating the field's intellectual structure has been lacking. Therefore, the present study aimed to examine the academic output in TEVL from 2014 to 2024 from a bibliometric perspective. Specifically, annual scientific production, influential documents and sources, key authors and countries, and thematic evolution were analyzed based on 3,307 documents from the Web of Science database. The findings reveal that: (a) The study of TEVL has developed rapidly over the past decade, with a significant acceleration in publications after 2020. (b) Research is concentrated in two primary hubs, the United States and China, with growing participation from countries like Turkey and Iran. (c) Thematic trends show a clear evolution from foundational computer- and mobile-assisted learning to emerging frontiers like artificial intelligence (AI), augmented reality (AR), and gamification. (d) Despite technological advancements, the field exhibits persistent methodological limitations and a notable gap between the implicit theoretical underpinnings and explicit research practice.
– Name: AbstractInfo
  Label: Abstractor
  Group: Ab
  Data: As Provided
– Name: DateEntry
  Label: Entry Date
  Group: Date
  Data: 2026
– Name: AN
  Label: Accession Number
  Group: ID
  Data: EJ1495805
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=eric&AN=EJ1495805
RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.1177/21582440251393196
    Languages:
      – Text: English
    PhysicalDescription:
      Pagination:
        PageCount: 15
    Subjects:
      – SubjectFull: Vocabulary Development
        Type: general
      – SubjectFull: Technology Uses in Education
        Type: general
      – SubjectFull: Educational Research
        Type: general
      – SubjectFull: Educational Trends
        Type: general
      – SubjectFull: Productivity
        Type: general
      – SubjectFull: Authors
        Type: general
      – SubjectFull: Models
        Type: general
      – SubjectFull: Research Methodology
        Type: general
      – SubjectFull: Publications
        Type: general
      – SubjectFull: Citations (References)
        Type: general
    Titles:
      – TitleFull: A Critical Bibliometric Review of Technology-Enhanced Vocabulary Learning: Uncovering a Decade of Tensions and Trends
        Type: main
  BibRelationships:
    HasContributorRelationships:
      – PersonEntity:
          Name:
            NameFull: Dan Feng
    IsPartOfRelationships:
      – BibEntity:
          Dates:
            – D: 01
              M: 10
              Type: published
              Y: 2025
          Identifiers:
            – Type: issn-electronic
              Value: 2158-2440
          Numbering:
            – Type: volume
              Value: 15
            – Type: issue
              Value: 4
          Titles:
            – TitleFull: SAGE Open
              Type: main
ResultId 1