Kukulska-Hulme, Agnes and Bull, Susan
(2008).
![[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 (239Kb) |
| Google Scholar: | Look up in Google Scholar |
|---|
Abstract
This paper considers the issue of 'noticing' in second language acquisition, and argues for the potential of handheld devices to: (i) support language learners in noticing and recording noticed features 'on the spot', to help them develop their second language system; (ii) help language teachers better understand the specific difficulties of individuals or those from a particular language background; and (iii) facilitate data collection by applied linguistics researchers, which can be fed back into educational applications for language learning. We consider: theoretical perspectives drawn from the second language acquisition literature, relating these to the practice of writing language learning diaries; and the potential for learner modelling to facilitate recording and prompting noticing in mobile assisted language learning contexts. We then offer guidelines for developers of mobile language learning solutions to support the development of language awareness in learners.
| Item Type: | Conference Item |
|---|---|
| Keywords: | mobile learning; language learning; second language acquisition; mobile assisted language learning; MALL; language learning diaries; noticing; open learner modelling |
| Academic Unit/Department: | Institute of Educational Technology |
| Interdisciplinary Research Centre: | Centre for Research in Education and Educational Technology (CREET) |
| Item ID: | 15105 |
| Depositing User: | Agnes Kukulska-Hulme |
| Date Deposited: | 01 Apr 2009 11:27 |
| Last Modified: | 04 Aug 2016 15:28 |
| URI: | http://oro.open.ac.uk/id/eprint/15105 |
| 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.