IDEAS home Printed from https://ideas.repec.org/a/igg/jwltt0/v17y2022i1p1-17.html
   My bibliography  Save this article

Teacher Self-Efficacy Beliefs and the Integration of Interactive Website Wikispaces Classroom

Author

Listed:
  • Nouf Jazaa Aljohani

    (Department of Languages and Translation, University of Jeddah, Kingdom of Saudi Arabia)

Abstract

Some components of the knowledge and skills required for teaching using 21st century technology can be assessed with reasonable confidence. The researcher conducted a study intended to determine the factors that affect teacher self-efficacy—that is, their evaluation of their own competence using the interactive educational website Wikispaces Classroom in various teaching fields. The participants were 44 pre-service teachers from various levels of the education system. The study was based on qualitative and quantitative methods. To obtain the qualitative data, the researcher administered a pre-survey and post-survey to measure the teachers' self-efficacy beliefs regarding the integration of the interactive website at the initial use and after or teachers and asked them to clarify their perspectives on how high self-efficacy had affected their use of the interactive website. The researcher distributed a questionnaire to uncover these factors. The findings showed how the use of the technology affected the teachers' self-efficacy in their use of the interactive learning website.

Suggested Citation

  • Nouf Jazaa Aljohani, 2022. "Teacher Self-Efficacy Beliefs and the Integration of Interactive Website Wikispaces Classroom," International Journal of Web-Based Learning and Teaching Technologies (IJWLTT), IGI Global, vol. 17(1), pages 1-17, January.
    • Handle: RePEc:igg:jwltt0:v:17:y:2022:i:1:p:1-17
    as

    Download full text from publisher

    File URL: http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/IJWLTT.313192
    Download Restriction: no
    ---><---

    Citations

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


    Cited by:

    1. Zeinab Shahbazi & Yung-Cheol Byun, 2022. "Agent-Based Recommendation in E-Learning Environment Using Knowledge Discovery and Machine Learning Approaches," Mathematics, MDPI, vol. 10(7), pages 1-19, April.

    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:jwltt0:v:17:y:2022:i:1:p:1-17. 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.