IDEAS home Printed from https://ideas.repec.org/a/spr/qualqt/v52y2018i1d10.1007_s11135-017-0641-1.html
   My bibliography  Save this article

Online authentic learning self-efficacy: a scale development

Author

Listed:
  • Murat Tezer

    (Ataturk Education Faculty)

  • Ezgi Pelin Yildiz

    (Ataturk Education Faculty)

  • Hüseyin Uzunboylu

    (Ataturk Education Faculty)

Abstract

In the study, it is aimed to develop a valid and reliable scale that can be used to determine the online authentic learning self-efficacy of the prospective teachers. The validity and reliability studies of the scale were made with the participation of 225 students from Near East University Atatürk Faculty of Education in Fall Semester of 2016–2017. Expert opinions were obtained for the scope and content validity of the scale. Exploratory Factor Analysis (EFA) was used to test construct validity. As a result of the study, a nine dimensional scale was developed that consists of 66 items that explains the 64.1% of the total variance (problem-solving skills and bonding, supra-cognitive skills and persistence in learning, interaction with real-world environments and interaction in the online environment, interaction and learning experiences with the real world, social bonding in online collaborative learning environments, structured support for internalizing effective learning and knowledge, multiple evaluation and feedback, collaborative work skills and product development). The internal consistency reliability of the scale is calculated with Cronbach Alpha and determined as 0.97. In addition, one can be said that students have good “self-efficacy” for online authentic learning.

Suggested Citation

  • Murat Tezer & Ezgi Pelin Yildiz & Hüseyin Uzunboylu, 2018. "Online authentic learning self-efficacy: a scale development," Quality & Quantity: International Journal of Methodology, Springer, vol. 52(1), pages 639-649, December.
    • Handle: RePEc:spr:qualqt:v:52:y:2018:i:1:d:10.1007_s11135-017-0641-1
    DOI: 10.1007/s11135-017-0641-1
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s11135-017-0641-1
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.
    File URL: https://libkey.io/10.1007/s11135-017-0641-1?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.

    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:spr:qualqt:v:52:y:2018:i:1:d:10.1007_s11135-017-0641-1. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.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.