IDEAS home Printed from https://ideas.repec.org/a/taf/tbitxx/v41y2022i9p1941-1951.html
   My bibliography  Save this article

Social media on blended learning: the effect of rapport and motivation

Author

Listed:
  • Wenzhi Zheng
  • Fang Yu
  • Yenchun Jim Wu

Abstract

New media technology can effectively support teacher–student rapport. In this study, Chinese students befriended their teachers on social media, and we compared their blended learning (N=455) based on this social media interaction with face-to-face learning (N=450). The results indicate that affective learning and cognitive learning in blended learning were superior to face-to-face learning. However, no significant differences in social presence, academic self-concept, or grade point average were observed between blended learning and face-to-face learning. According to a multi-group structural equation modelling analysis, the mediating effect of affective learning in blended learning was superior to that in face-to-face learning; in addition, academic self-concept significantly influenced cognitive learning. No significant difference was found for grade point average. Finally, we propose blended learning related suggestions regarding how to trigger students’ connection need and inspire their wisdom and potential.

Suggested Citation

  • Wenzhi Zheng & Fang Yu & Yenchun Jim Wu, 2022. "Social media on blended learning: the effect of rapport and motivation," Behaviour and Information Technology, Taylor & Francis Journals, vol. 41(9), pages 1941-1951, July.
  • Handle: RePEc:taf:tbitxx:v:41:y:2022:i:9:p:1941-1951
    DOI: 10.1080/0144929X.2021.1909140
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1080/0144929X.2021.1909140
    Download Restriction: Access to full text is restricted to subscribers.

    File URL: https://libkey.io/10.1080/0144929X.2021.1909140?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.

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Lin Huang & Meng-Hsiu Lee, 2023. "A Study on the Relationship Between Socialization of Blended Learning and Motivation Regulation Under Sustainable Development With Teacher Support as the Moderating Variable," SAGE Open, , vol. 13(4), pages 21582440231, October.

    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:41:y:2022:i:9:p:1941-1951. 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.