Review of research on mobile-assisted language learning in familiar, authentic environments

Rustam Shadiev, Taoying Liu, Wu Yuin Hwang

Research output: Contribution to journalReview articlepeer-review

23 Scopus citations

Abstract

Familiarity with learning contexts is important in the field of mobile-assisted language learning (MALL). Several review studies on MALL have been published to date. However, scholars have not covered certain aspects of familiar contexts in their reviews, such as which learning/instructional methodologies support learning in familiar contexts or what the affordances of familiar contexts are for language learning. To address this gap, the authors in this study reviewed research articles related to MALL in familiar, authentic environments published in the past 10 years. The reviewed articles were from journals published in the Social Science Citation Index between 2009 and 2018. The main aim of this study was to review the published articles to understand (1) pedagogical approaches, (2) data collection, (3) locations, (4) affordances of authentic environments and (5) issues in MALL research. The results revealed that the most frequent items in reviewed articles were task-based learning and communicative language teaching (pedagogical approaches); questionnaires, pretest and posttests and interviews (data collection); the local community and campus (locations); daily encounters, language learning and cognitive load (affordances of authentic environments); and small sample sizes and short-term interventions (issues in MALL research). Based on the results, the authors in this study made several suggestions and provided implications for educators and researchers in the field about MALL in familiar, authentic environments.

Original languageEnglish
Pages (from-to)709-720
Number of pages12
JournalBritish Journal of Educational Technology
Volume51
Issue number3
DOIs
StatePublished - 1 May 2020

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