IDEAS home Printed from https://ideas.repec.org/h/spr/lnopch/978-981-97-1949-5_114.html
   My bibliography  Save this book chapter

Engineering Cognitive Internship Based on Virtual Reality

Author

Listed:
  • Ke Li

    (The Shenzhen University)

  • Yi Tan

    (The Shenzhen University)

  • Xin Hu

    (Chongqing Technology and Business Institute)

Abstract

In engineering education, traditional cognitive internships pose safety risks and limitations in terms of time, location, high costs, and resource requirements, which can affect students' learning experience and practical application abilities. Therefore, there is a need to explore innovative teaching methods to overcome these limitations. In light of the emerging technology of virtual reality (VR), this study proposes a VR-based cognitive internship teaching method aimed at reducing the dangers associated with field internships and saving teaching resources and costs. The method involves scanning and generating digital models using panoramic cameras, importing these models into a game engine for further development through script writing. Additionally, the Bloom's taxonomy is proposed as an evaluation method to assess students' cognitive development. An experiment was conducted involving 40 students who were surveyed through questionnaires. The results indicate that students have a positive attitude towards incorporating VR technology into cognitive internships for learning purposes. This demonstrates that integrating virtual reality technology into engineering education is a highly promising approach.

Suggested Citation

  • Ke Li & Yi Tan & Xin Hu, 2024. "Engineering Cognitive Internship Based on Virtual Reality," Lecture Notes in Operations Research,, Springer.
  • Handle: RePEc:spr:lnopch:978-981-97-1949-5_114
    DOI: 10.1007/978-981-97-1949-5_114
    as

    Download full text from publisher

    To our knowledge, this item is not available for download. To find whether it is available, there are three options:
    1. Check below whether another version of this item is available online.
    2. Check on the provider's web page whether it is in fact available.
    3. Perform a search for a similarly titled item that would be available.

    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:lnopch:978-981-97-1949-5_114. 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.