Shield, Lesley and Kukulska-Hulme, Agnes (2008). Special issue of ReCALL on Mobile Assisted Language Learning. Cambridge University Press.
Full text available as:
![[img]](http://oro.open.ac.uk/style/images/fileicons/application_pdf.png)
|
PDF (Not Set)
- Requires a PDF viewer such as GSview, Xpdf or Adobe Acrobat Reader
Download (56Kb) |
| URL: | http://journals.cambridge.org/action/displayIssue?... |
|---|---|
| Google Scholar: | Look up in Google Scholar |
Abstract
As in other areas of education where the possibilities offered by mobile learning are being increasingly investigated, there is a growing body of research in the field of Mobile Assisted Language Learning (MALL). The collection of papers in this volume addresses secondary and tertiary education, mobile devices and mobility of learners. The authors describe both the successes and challenges they faced, and consider some of the barriers to the adoption of MALL. Sufficient research has been carried out for MALL to have been identified as separate from computer assisted language learning (CALL). Within this special issue, Kukulska-Hulme and Shield provide an overview of studies that have been carried out in the last six years or so, and the move from content delivery to supported collaboration and interaction.
| Item Type: | Other |
|---|---|
| Extra Information: | Volume 20, Number 3. |
| Keywords: | mobile learning; mobile assisted language learning; MALL |
| Academic Unit/Department: | Faculty of Wellbeing, Education and Language Studies (WELS) > Languages and Applied Linguistics Faculty of Wellbeing, Education and Language Studies (WELS) Institute of Educational Technology |
| Interdisciplinary Research Centre: | Centre for Research in Education and Educational Technology (CREET) |
| Item ID: | 16294 |
| Depositing User: | Agnes Kukulska-Hulme |
| Date Deposited: | 14 May 2009 14:17 |
| Last Modified: | 03 Aug 2016 18:29 |
| URI: | http://oro.open.ac.uk/id/eprint/16294 |
| Share this page: |     |
Download history for this item
These details should be considered as only a guide to the number of downloads performed manually. Algorithmic methods have been applied in an attempt to remove automated downloads from the displayed statistics but no guarantee can be made as to the accuracy of the figures.