IDEAS home Printed from https://ideas.repec.org/a/wsi/jikmxx/v21y2022isupp02ns0219649222400202.html
   My bibliography  Save this article

Feasibility Analysis of the Application of Virtual Reality Technology in College English Culture Teaching

Author

Listed:
  • Yan Jing

    (School of Foreign Languages, Jiaozuo University, Jiaozuo 454000, P. R. China)

  • Zhou Mingfang

    (��School of Marxism, Jiaozuo University, Jiaozuo 454000, P. R. China)

  • Chen Yafang

    (School of Foreign Languages, Jiaozuo University, Jiaozuo 454000, P. R. China)

Abstract

Although the traditional English teaching mode has changed qualitatively, it still has not broken through the two-dimensional limitation, which limits the students’ creative thinking to a certain extent. The application of virtual reality technology in teaching is a qualitative leap in the development of educational informatisation. Based on the data collected from questionnaires and in-depth interviews, this paper studies the feasibility of applying virtual reality immersion teaching in primary and secondary school English teaching. On this basis, this paper attempts to combine virtual reality technology with immersion teaching, and make use of its diversity, flexibility, interactivity and other characteristics to prospect the realisation of virtual reality in English learning, and strive to explore a virtual reality immersion English teaching mode suitable for primary and secondary school children, so as to make up for the shortcomings of traditional language education and optimise the learning effect, It provides a feasible reference for the application of virtual reality technology in English teaching in the future.

Suggested Citation

  • Yan Jing & Zhou Mingfang & Chen Yafang, 2022. "Feasibility Analysis of the Application of Virtual Reality Technology in College English Culture Teaching," Journal of Information & Knowledge Management (JIKM), World Scientific Publishing Co. Pte. Ltd., vol. 21(Supp02), pages 1-22, July.
  • Handle: RePEc:wsi:jikmxx:v:21:y:2022:i:supp02:n:s0219649222400202
    DOI: 10.1142/S0219649222400202
    as

    Download full text from publisher

    File URL: http://www.worldscientific.com/doi/abs/10.1142/S0219649222400202
    Download Restriction: Access to full text is restricted to subscribers

    File URL: https://libkey.io/10.1142/S0219649222400202?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:wsi:jikmxx:v:21:y:2022:i:supp02:n:s0219649222400202. 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: Tai Tone Lim (email available below). General contact details of provider: http://www.worldscinet.com/jikm/jikm.shtml .

    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.