Learning a minority language through authentic conversation using an online social learning method

Henry, Michael; Carroll, Fiona; Cunliffe, Daniel; Kop, Rita

Abstract

© 2017 Informa UK Limited, trading as Taylor & Francis Group. Advances in technology are currently helping to speed up the globalisation of ‘super’ languages. One can argue that at the same time technology might be used to help reverse the decline of less widely spoken languages. Cada Dia (CD) is a social learning method which uses online web meeting platforms, in combination with asynchronous learning management systems, to enhance the language learning experience. CD provides an immersive learning strategy to encourage authentic conversations in a real time environment to create dynamic and meaningful learning encounters. Using a vignette data analysis technique in combination with a survey research method, this paper is a reflection on the analysis of learners’ experiences during an eight week Cada Dia Welsh (CDW) pilot study; its aim is to gain an understanding of online social learning methods for minority language learning. Central to the research was understanding online pedagogical practices with a particular emphasis on authentic conversation for minority languages such as Welsh.

• Journal Article Type: Article
• Acceptance Date: Oct 16, 2017
• Online Publication Date: Nov 3, 2017
• Publication Date: May 4, 2018
• Deposit Date: Dec 1, 2017
• Publicly Available Date: May 3, 2019
• Journal: Computer Assisted Language Learning
• Print ISSN: 0958-8221
• Electronic ISSN: 1744-3210
• Publisher: Taylor & Francis (Routledge)
• Peer Reviewed: Peer Reviewed
• Volume: 31
• Issue: 4
• Pages: 321-345
• DOI: https://doi.org/10.1080/09588221.2017.1395348
• Keywords: social learning, authentic conversation, online learning, Welsh language
• Public URL: https://uwe-repository.worktribe.com/output/868300
• Publisher URL: http://dx.doi.org/10.1080/09588221.2017.1395348
• Additional Information: Additional Information : This is an Accepted Manuscript of an article published by Taylor & Francis in Computer Assisted Language Learning on 03 November 2017, available online: http://www.tandfonline.com/10.1080/09588221.2017.1395348
• Contract Date: Dec 1, 2017