IDEAS home Printed from https://ideas.repec.org/a/igg/jcallt/v9y2019i3p14-28.html
   My bibliography  Save this article

Qualitative Research In Online Language Learning: What Can It Do?

Author

Listed:
  • Ursula Stickler

    (The Open University, Milton Keynes, UK)

  • Regine Hampel

    (The Open University, Milton Keynes, UK)

Abstract

This article explores the theoretical foundations of qualitative research in online language learning. It will look at the distinction between offline and online language learning and discuss whether different ways of knowledge generation are appropriate for those different learning environments. Quantitative and qualitative methodologies will be examined and their fit with various learning theories evaluated. Fundamental theoretical differences between epistemologies supporting a realist ontology and those favouring relativist ontologies will be presented and set in the context of online language learning research. Finally, an argument will be presented that in a sociocultural framework, going beyond quantitative research approaches is necessary to adequately understand the experiences of learners and teachers who share a common interest in novel digital environments.

Suggested Citation

  • Ursula Stickler & Regine Hampel, 2019. "Qualitative Research In Online Language Learning: What Can It Do?," International Journal of Computer-Assisted Language Learning and Teaching (IJCALLT), IGI Global, vol. 9(3), pages 14-28, July.
    • Handle: RePEc:igg:jcallt:v:9:y:2019:i:3:p:14-28
    as

    Download full text from publisher

    File URL: http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/IJCALLT.2019070102
    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:9:y:2019:i:3:p:14-28. 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.