PDF (Not Set)
- Requires a PDF viewer such as GSview, Xpdf or Adobe Acrobat Reader
|DOI (Digital Object Identifier) Link:||http://doi.org/10.1080/01587910600940406|
|Google Scholar:||Look up in Google Scholar|
This study investigated the experience of learners enrolled on an Open University (UK) French course, and included personality factors, motivation, and tutor and student roles. The data gathered via multiple elicitation methods gave useful insights into issues of special relevance to distance language education, in particular the lack of fit between an inherently social discipline such as language learning and the distance context, whose main characterizing feature is remoteness from others. Motivation was seen to play a crucial role in success, along with tutor feedback, and personal responsibility for learning. Increased confidence and self?regulation were beneficial outcomes of the process of learning at a distance, and numerous suggestions for learning approaches based on personal experience were offered for language learners new to distance learning. The study concluded that the task for distance practitioners is to build on the insights shown by learners themselves, in order to target support where it is most needed.
|Item Type:||Journal Article|
|Extra Information:||This publication also appears in a 2 volume PhD thesis of published work -
'Second language learning at a distance: Metacognition, affect, learning strategies and learner support in relation to the development of autonomy.'
See Volume 1: Introduction to the published work and Volume 2: Submitted publications.
|Academic Unit/Department:||Education and Language Studies > Languages
Education and Language Studies
|Interdisciplinary Research Centre:||Centre for Research in Education and Educational Technology (CREET)|
|Depositing User:||Users 13 not found.|
|Date Deposited:||08 Dec 2006|
|Last Modified:||25 Feb 2016 08:37|
|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.