IDEAS home Printed from https://ideas.repec.org/a/taf/tbitxx/v39y2020i12p1257-1275.html
   My bibliography  Save this article

Discovering MOOC learner motivation and its moderating role

Author

Listed:
  • Yue Chen
  • Qin Gao
  • Quan Yuan
  • Yuanli Tang

Abstract

In massive open online courses (MOOCs), learners have diverse types of motivation. Learners with different motivations have different interaction behaviours, presence, and learning outcomes. However, scant research has investigated the moderating role of learner motivations in the associations between presence and learning outcomes. This study examined MOOC learner motivation and its moderating role by surveying 646 MOOC learners. By exploratory factor analysis, this study identified four types of motivation: interest in knowledge, curiosity and expansion, connection and recognition, and professional relevance. Based on motivation, the study clustered learners into high-motivation, low-motivation, and asocial learners. Both high-motivation and asocial learners reported strong interest in knowledge and professional relevance, but asocial learners reported the lowest level of connection and recognition among the three groups of learners. Despite the low social presence, the asocial learners still had high levels of cognitive and teaching presence and learning outcomes. In addition, learners with higher presence generally perceived higher cognitive learning, but asocial learners with higher social presence were less satisfied. The results highlight the impacts of specific types of motivation to enrol in MOOCs and suggest designing different environments for learners with different motivation types.

Suggested Citation

  • Yue Chen & Qin Gao & Quan Yuan & Yuanli Tang, 2020. "Discovering MOOC learner motivation and its moderating role," Behaviour and Information Technology, Taylor & Francis Journals, vol. 39(12), pages 1257-1275, December.
  • Handle: RePEc:taf:tbitxx:v:39:y:2020:i:12:p:1257-1275
    DOI: 10.1080/0144929X.2019.1661520
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1080/0144929X.2019.1661520
    Download Restriction: Access to full text is restricted to subscribers.

    File URL: https://libkey.io/10.1080/0144929X.2019.1661520?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    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:taf:tbitxx:v:39:y:2020:i:12:p:1257-1275. 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: Chris Longhurst (email available below). General contact details of provider: http://www.tandfonline.com/tbit .

    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.