IDEAS home Printed from https://ideas.repec.org/a/gam/jijerp/v17y2020i22p8417-d444779.html
   My bibliography  Save this article

Comparison of Learning Effects of Virtual Reality Simulation on Nursing Students Caring for Children with Asthma

Author

Listed:
  • Kyung-Ah Kang

    (College of Nursing, Sahmyook University, Seoul 01795, Korea)

  • Shin-Jeong Kim

    (School of Nursing, Hallym University, Gangwon-do 25949, Korea)

  • Myung-Nam Lee

    (Department of Nursing, College of Health Science, Kangwon National University Samcheok, Gangwon-do 25913, Korea)

  • Mikang Kim

    (Laerdal Medical, Seoul 06725, Korea)

  • Sunghee Kim

    (Red Cross College of Nursing, Chung-Ang University, Seoul 06974, Korea)

Abstract

With the global pandemic of the coronavirus disease, virtual reality simulation (vSim) has emerged as a simulation educational method. The purpose of this study is to examine the learning effects of vSim by comparing three different educational modalities of nursing care for children with asthma. A quasi-experimental design with three different teaching methods, vSim, high-fidelity simulation (HFS), and vSim with HFS, were used in the study. The group using vSim with HFS showed the highest scores in knowledge, confidence in practice, and performance compared to groups using vSim or HFS alone. Simulation practice using vSim combined with HFS could be an effective educational method for nursing students.

Suggested Citation

  • Kyung-Ah Kang & Shin-Jeong Kim & Myung-Nam Lee & Mikang Kim & Sunghee Kim, 2020. "Comparison of Learning Effects of Virtual Reality Simulation on Nursing Students Caring for Children with Asthma," IJERPH, MDPI, vol. 17(22), pages 1-11, November.
  • Handle: RePEc:gam:jijerp:v:17:y:2020:i:22:p:8417-:d:444779
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1660-4601/17/22/8417/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/1660-4601/17/22/8417/
    Download Restriction: no
    ---><---

    Citations

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


    Cited by:

    1. Ae-Ri Jung & Eun-A Park, 2022. "The Effectiveness of Learning to Use HMD-Based VR Technologies on Nursing Students: Chemoport Insertion Surgery," IJERPH, MDPI, vol. 19(8), pages 1-11, April.
    2. Ana Rosa Alconero-Camarero & Carmen María Sarabia-Cobo & María José Catalán-Piris & Silvia González-Gómez & José Rafael González-López, 2021. "Nursing Students’ Satisfaction: A Comparison between Medium- and High-Fidelity Simulation Training," IJERPH, MDPI, vol. 18(2), pages 1-11, January.
    3. Eun-Mi Beak & Yeon-Ha Kim, 2021. "Factors Included in T1DM Continuing Education for Korean School Nurses: A Systematic Review," IJERPH, MDPI, vol. 18(4), pages 1-14, February.

    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:gam:jijerp:v:17:y:2020:i:22:p:8417-:d:444779. 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: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.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.