Systematic Evaluation of Research Progress on Technology-Enhanced Language Learning : Content Analysis and Knowledge Mapping

Xieling CHEN, Di ZOU*, Haoran XIE, Gary CHENG

*Corresponding author for this work

Research output: Book Chapters | Papers in Conference ProceedingsConference paper (refereed)Researchpeer-review

Abstract

Owing to the recent advances in information and communications technologies, technology-enhanced language learning (TELL) research has resulted in diverse theories and empirical evidence, showing the complex and dynamic nature of TELL. The retrospective amount of TELL research literature is ever-growing, making it difficult to produce a comprehensive overview. However, knowledge mapping and clustering technologies are capable of visualizing and structuring research literature on a large scale. Therefore, based on 1,295 SCI/SSCI peer-reviewed TELL research articles from 1995 to 2019, we aim to systematically investigate and map the TELL literature to generate implications and insights into future research. Results identify recent major TELL research issues like technology-assisted vocabulary/word learning, computer-facilitated communication, language learning driven by applying computers, virtual reality, mobiles, and digital games, as well as a focus on learners and the use of experimental design. Additionally, scholars are advised to pay attention to issues like robots-assisted language learning, multimodal strategies for language learning, synchronous technologies for language learning, anxiety towards TELL, and artificial intelligence in TELL.

Original languageEnglish
Title of host publicationEmerging Technologies for Education - 6th International Symposium, SETE 2021, Revised Selected Papers
EditorsWeijia JIA, Yong TANG, Raymond S. LEE, Michael HERZOG, Hui ZHANG, Tianyong HAO, Tian WANG
PublisherSpringer Science and Business Media Deutschland GmbH
Pages334-343
Number of pages10
ISBN (Print)9783030928353
DOIs
Publication statusPublished - 1 Jan 2021
Event6th International Symposium on Emerging Technologies for Education, SETE 2021 - Zhuhai, China
Duration: 11 Nov 202112 Nov 2021

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume13089 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference6th International Symposium on Emerging Technologies for Education, SETE 2021
Country/TerritoryChina
CityZhuhai
Period11/11/2112/11/21

Bibliographical note

Publisher Copyright:
© 2021, Springer Nature Switzerland AG.

Funding

Acknowledgements. This work was supported by General Research Fund (No. 18601118) of Research Grants Council of Hong Kong SAR, China, One-off Special Fund from Central and Faculty Fund in Support of Research from 2019/20 to 2021/22 (MIT02/19-20) of The Education University of Hong Kong, Research Cluster Fund (RG 78/2019-2020R) of The Education University of Hong Kong, and Dean’s Research Fund 2019/20 (IDS-2 2020) of The Education University of Hong Kong.

Keywords

  • Bibliometric analysis
  • Content analysis
  • Knowledge mapping
  • Technology-enhanced language learning

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