Future trends and research issues of technology-enhanced language learning: A technological perspective

Di ZOU, Haoran XIE, Fu Lee WANG

Research output: Contribution to journalArticles

10 Citations (Scopus)

Abstract

With recent advancements in information technologies and language learning models, rapid innovations of technology-enhanced language learning have been widely witnessed by research communities and educational institutions globally. Powerful new technologies, such as social media and networks, mobile applications, wearable computing, cloud computing, and virtual reality have been integrated into language learning to facilitate various aspects, such as interactivity, immediacy, and authenticity. In this study, we present the Future TELL Model considering learning objectives, theories, and strategies by briefly reviewing recent progresses in this area. Future trends and research issues in technology-enhanced language learning are also discussed in relation to cutting-edge technologies, such as deep neural networks, which have not yet been fully recognized by education technology communities. Copyright © 2018 Hong Kong Bao Long Accounting And Secretarial Limited. All Rights Reserved.
Original languageEnglish
Pages (from-to)426-440
JournalKnowledge Management and E-Learning
Volume10
Issue number4
Publication statusPublished - Dec 2018

Citation

Zou, D., Xie, H., & Wang, F. L. (2018). Future trends and research issues of technology-enhanced language learning: A technological perspective. Knowledge Management & E-Learning, 10(4), 426-440.

Keywords

  • Future language learning
  • Technology-enhanced language learning
  • Deep neural networks

Fingerprint Dive into the research topics of 'Future trends and research issues of technology-enhanced language learning: A technological perspective'. Together they form a unique fingerprint.