IDEAS home Printed from https://ideas.repec.org/a/igg/jcallt/v6y2016i1p1-23.html
   My bibliography  Save this article

Some Interactional Functions of Text in a Text-and-Voice SCMC Chat Session for Language Learning

Author

Listed:
  • Hanh thi Nguyen

    (Hawaii Pacific University, Honolulu, HI, USA)

  • André Langevin

    (Abu Dhabi Vocational Education Training Institute, Mohamed Bin Zyed City, United Arab Emirates)

Abstract

This case study examines the functions of the text mode in a predominantly voice-only SCMC tutoring session. Using conversation analysis with attention paid to the sequential and holistic unfolding of both text and voice turns, the authors found that the bimodal text-and-voice mode was employed in repair, Initiation-Response-Feedback, assessment, and topical talk sequences. Within these sequences, text turns often reinforced voice turns to focus on language forms but also sometimes contributed to rapport-building and emotional emphasis in the voice turns. In addition to supporting voice turns, text turns also performed distinct actions that worked together with the actions in the voice turns such as initiating repair, presenting language examples as objects for consideration, achieving humor, and signaling discourse structure. The findings shed light on the interactional processes in bimodal SCMC for second language teaching and learning.

Suggested Citation

  • Hanh thi Nguyen & André Langevin, 2016. "Some Interactional Functions of Text in a Text-and-Voice SCMC Chat Session for Language Learning," International Journal of Computer-Assisted Language Learning and Teaching (IJCALLT), IGI Global, vol. 6(1), pages 1-23, January.
    • Handle: RePEc:igg:jcallt:v:6:y:2016:i:1:p:1-23
    as

    Download full text from publisher

    File URL: http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/IJCALLT.2016010101
    Download Restriction: no
    ---><---

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:igg:jcallt:v:6:y:2016:i:1:p:1-23. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Journal Editor (email available below). General contact details of provider: https://www.igi-global.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.