The Open UniversitySkip to content
 

English for economic development: a case study of migrant workers from Bangladesh

Erling, Elizabeth J.; Seargeant, Philip; Solly, Michael; Chowdhury, Qumrul Hasan and Rahman, Sayeedur (2015). English for economic development: a case study of migrant workers from Bangladesh. British Council.

Full text available as:
[img]
Preview
PDF (Version of Record) - Requires a PDF viewer such as GSview, Xpdf or Adobe Acrobat Reader
Download (395kB) | Preview
URL: http://www.teachingenglish.org.uk/article/english-...
Google Scholar: Look up in Google Scholar

Abstract

This report investigates the relationship between English language learning and economic development among workers from rural Bangladesh who emigrated to the Middle East in search of employment. It provides first-hand accounts of language and other needs of those living and working in contexts of this sort, and provides valuable insights which can feed into the design and implementation of English language education policies and programmes.

Item Type: Other
Copyright Holders: 2015 British Council
Project Funding Details:
Funded Project NameProject IDFunding Body
English for economic development: a case study of migrant workers from BangladeshNot SetBritish Council
Academic Unit/School: Faculty of Wellbeing, Education and Language Studies (WELS) > Education, Childhood, Youth and Sport
Faculty of Wellbeing, Education and Language Studies (WELS)
Faculty of Wellbeing, Education and Language Studies (WELS) > Languages and Applied Linguistics
Interdisciplinary Research Centre: Centre for Research in Education and Educational Technology (CREET)
Education Futures
International Development & Inclusive Innovation
Innovation, Knowledge & Development research centre (IKD)
Language & Literacies
Item ID: 44301
Depositing User: Elizabeth Erling
Date Deposited: 06 Oct 2015 15:31
Last Modified: 26 May 2017 12:14
URI: http://oro.open.ac.uk/id/eprint/44301
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.

Actions (login may be required)

Policies | Disclaimer

© The Open University   contact the OU