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A Bibliometric and Content Analysis of Strategy-Based Instruction in Second or Foreign Language Teaching From 2000 to 2021

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  • Ruihua Chen
  • Yafu Gong
  • Yanghe Liu
  • Wen Cheng

Abstract

This systematic review aims to identify the research trend and gap of strategy-based instruction research in second or foreign language domain from 2000 to 2021. The study involves both bibliometric and content analysis. To gain an overall understanding of the research on strategy-based instruction, this study employs keywords co-occurrence analysis to analyze data obtained from Web of Science and Scopus. The content analysis coded four themes: learning context, research objects, intervention framework, and indicators. The bibliometric findings offered analytical information on keywords, sources, and regions of selected documents, revealing the latest research focuses. The findings of content analysis further explored each document and provided in-depth data concerning learning contexts and research objects. The content analysis also indicates characteristics of successful SBI design by outlining the contexts and implementations of interventions. The results of this study can be useful resources to researchers intending to conduct research in SBI field, since the study discussed both what has been done (existing research focuses) and what needs to be done (research trends and research gap).

Suggested Citation

  • Ruihua Chen & Yafu Gong & Yanghe Liu & Wen Cheng, 2023. "A Bibliometric and Content Analysis of Strategy-Based Instruction in Second or Foreign Language Teaching From 2000 to 2021," SAGE Open, , vol. 13(1), pages 21582440231, March.
    • Handle: RePEc:sae:sagope:v:13:y:2023:i:1:p:21582440231159546
    DOI: 10.1177/21582440231159546
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    References listed on IDEAS

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    1. Gordon Rogers & Martin Szomszor & Jonathan Adams, 2020. "Sample size in bibliometric analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 125(1), pages 777-794, October.
    2. Nees Jan Eck & Ludo Waltman, 2010. "Software survey: VOSviewer, a computer program for bibliometric mapping," Scientometrics, Springer;Akadémiai Kiadó, vol. 84(2), pages 523-538, August.
    3. Martín-Martín, Alberto & Orduna-Malea, Enrique & Thelwall, Mike & Delgado López-Cózar, Emilio, 2018. "Google Scholar, Web of Science, and Scopus: A systematic comparison of citations in 252 subject categories," Journal of Informetrics, Elsevier, vol. 12(4), pages 1160-1177.
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