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

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Part of the book series: Lecture Notes in Computer Science ((LNISA,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.

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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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Correspondence to Tianyong Hao .

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Chen, X., Hao, J., Chen, J., Hua, S., Hao, T. (2018). A Bibliometric Analysis of the Research Status of the Technology Enhanced Language Learning. In: Hao, T., Chen, W., Xie, H., Nadee, W., Lau, R. (eds) Emerging Technologies for Education. SETE 2018. Lecture Notes in Computer Science(), vol 11284. Springer, Cham. https://doi.org/10.1007/978-3-030-03580-8_18

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  • DOI: https://doi.org/10.1007/978-3-030-03580-8_18

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-03579-2

  • Online ISBN: 978-3-030-03580-8

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