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

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...

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Bibliographic Details
Published in:Knowledge management & e-learning 2018-12, Vol.10 (4), p.426-440
Main Authors: Zou, Di, Xie, Haoran, Fu Lee Wang
Format: Article
Language:English
Subjects:
Behavioral Objectives
Blended Learning
CAI
Cloud computing
Computer assisted instruction
Computer Uses in Education
Cooperative Learning
Cutting parameters
Digital media
Education
Educational Research
Educational Technology
Educational Trends
Electronic Learning
Game Based Learning
Language instruction
Learning
Learning Theories
Mobile computing
Neural networks
New technology
Second Language Learning
Social media
Software
Teaching Methods
Trends
Virtual networks
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Summary: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.
ISSN:2073-7904
2073-7904
2309-5008
DOI:10.34105/j.kmel.2018.10.026