A Technology-Enhanced Framework for Supporting Peer Instruction and Just-in-Time Teaching in Flipped English Classrooms

Di ZOU, Reggie KWAN, Fu Lee WANG, Haoran XIE*, Wai Hong CHAN

*Corresponding author for this work

Research output: Journal PublicationsJournal Article (refereed)peer-review

Abstract

As acknowledged by educational communities, flipped classroom has been a novel and useful teaching model for digital classroom. However, it seems difficult and unclear for many teachers to implement flipped classroom in their lectures in practice. To solve this issue, this article explains how to conduct flipped teaching effectively and efficiently in English classes by adopting recent technologies. Specifically, a technology-enhanced framework is proposed to support peer instruction and just-in-time teaching in the flipped classroom model. Furthermore, issues such as how to select suitable and specific technical tools, and which functions/components should be included in the framework are introduced. In addition, this article reports on a work in progress project that flips a course of English for Specific Purposes with peer instruction and just-in-time teaching. The objectives of this project as well as the way to implement the proposed framework in real scenarios are presented. In depth analysis concerning technology-enhanced language learning, e-learning frameworks, and how such a flipped classroom facilitated students’ language enhancement and critical thinking skills are also included.
Original languageEnglish
Pages (from-to)2726 - 2735
Number of pages10
JournalLiteracy Information and Computer Education Journal
Volume8
Issue number4
DOIs
Publication statusPublished - Dec 2017

Bibliographical note

Acknowledgement:
The research described in this paper was fully supported by the Internal Research Grant (RG63/2017-2018R) of The Education University of Hong Kong, and a grant from the Research Grants Council of the Hong Kong Special Administrative Region, China (UGC/FDS11/E03/16). This article is an extended work based on a preliminary version which is published in the conference proceedings of CICE 2017 .

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