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A Bibliometric Analysis of the Research Status of the Technology Enhanced Language Learning

  • Xieling Chen
  • Juntao Hao
  • Junjie Chen
  • Songshou Hua
  • Tianyong Hao
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 11284)

Abstract

The integration of technology into language learning has demonstrated great success and drawn much attention from academia in recent years. Using publications retrieved from Web of Science, this study reveals the research status and development trend of the field from a bibliometric and systematic perspective. The analysis is conducted from publication statistical characteristics, geographical distribution, and collaboration relations. Analysis techniques include a bibliometric method, a geographic visualization method, and a social network analysis method. This analysis of the technology enhanced language learning field presents a global view on the research evolution over time, current research interests, and potential opportunities and challenges.

Keywords

Technology Language learning Bibliometric analysis 

Notes

Acknowledgements

This work was supported by National Natural Science Foundation of China (No. 61772146) and Innovative School Project in Higher Education of Guangdong Province (No. YQ2015062).

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Copyright information

© Springer Nature Switzerland AG 2018

Authors and Affiliations

  • Xieling Chen
    • 1
  • Juntao Hao
    • 2
  • Junjie Chen
    • 3
  • Songshou Hua
    • 4
  • Tianyong Hao
    • 5
  1. 1.College of EconomicsJinan UniversityGuangzhouChina
  2. 2.Xuchang Computer Applied Engineering Research CenterXuchangChina
  3. 3.Software CollegeNortheastern UniversityShenyangChina
  4. 4.Department of Computer ScienceLiaoning Vocational College of Light IndustryDalianChina
  5. 5.School of ComputerSouth China Normal UniversityGuangzhouChina

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