Research trends in mobile assisted language learning from 2000 to 2012

Author:

Duman Guler,Orhon Gunseli,Gedik Nuray

Abstract

AbstractIn order to trace how mobile assisted language learning (MALL) has evolved in recent years, we analysed studies published from 2000 to 2012 to examine their characteristics and research trends. These studies were published in international journals listed in the Social Sciences Citation Index (SSCI). Sixty-nine studies that fit the time frame and study parameters were examined using a classification form. The results indicate that research in the field increased at a fast pace from 2008 and reached a peak in 2012. Teaching vocabulary with the use of cell phones and PDAs has remained popular over this period. A significant number of studies did not base their research on any theoretical framework. Applied and design-based research dominated the field, and these studies generally adopted quantitative research methods. Reflecting on these results, we suggest directions for future research and practices in the field.

Publisher

Cambridge University Press (CUP)

Subject

Computer Science Applications,Linguistics and Language,Language and Linguistics,Education

Reference56 articles.

1. Research trends and issues in educational technology: A content analysis of TOJET (2008–2011);Bozkaya;Turkish Online Journal of Educational Technology (TOJET),2012

2. A review of research methodologies used in studies on mobile handheld devices in K-12 and higher education settings

3. Regan M. , Mabogunje Nash J. and Licata D. (2000) Mobile learning. Retrieved November 13, 2011 from http://sll.stanford.edu/projects/mobilelearning.

4. Ya F. Y. , Ching J. C. and Chih K. C. (2013) Mobile assisted language learning: Overview of literature from 2008 to 2012. The 21st International Conference on Computers in Education (ICCE 2013), Denpasar Bali, Indonesia.

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