IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v14y2022i24p16891-d1005503.html
   My bibliography  Save this article

Effects of Multisensory Integration through Spherical Video-Based Immersive Virtual Reality on Students’ Learning Performances in a Landscape Architecture Conservation Course

Author

Listed:
  • Weilong Wu

    (School of Film Television & Communication, Xiamen University of Technology, Xiamen 361024, China)

  • Zhanpeng Zhao

    (School of Film Television & Communication, Xiamen University of Technology, Xiamen 361024, China)

  • Ao Du

    (School of Film Television & Communication, Xiamen University of Technology, Xiamen 361024, China)

  • Jiaqing Lin

    (School of Film Television & Communication, Xiamen University of Technology, Xiamen 361024, China)

Abstract

Many courses are transitioning from offline to online instruction in the wake of the COVID-19 pandemic. Landscape architecture conservation courses face problems such as reduced interest in learning, poor learning attitudes and low learning efficiency among students. At the same time, due to the nature of landscape architecture conservation courses, students need more experience to learn well, and many landscape architecture courses do not meet this requirement. Online education also lacks the necessary education scenarios and is not very immersive, making it difficult to meet students’ learning needs. Continued advances in technology have provided new ways for people to connect with nature, increasing awareness and adoption of sustainable landscape architecture practices. To solve the above problems, this study uses multisensory spherical video-based immersive virtual reality technology to develop a VR learning system for landscape architecture conservation courses based on the senses of sight, sound and smell. This system is simple to operate, but interactive and immersive. A quasi-experimental study was also conducted to test the effectiveness of the system. Analyzing the results of the study, students in the experimental group outperformed students in the control group in terms of learning achievements, learning model satisfaction, technology acceptance, flow experience and learning attitudes, which suggests that the use of multisensory spherical video-based immersive virtual reality technology in a landscape architecture conservation course is effective in improving students’ learning performances, and that the study can provide input for the development of other courses.

Suggested Citation

  • Weilong Wu & Zhanpeng Zhao & Ao Du & Jiaqing Lin, 2022. "Effects of Multisensory Integration through Spherical Video-Based Immersive Virtual Reality on Students’ Learning Performances in a Landscape Architecture Conservation Course," Sustainability, MDPI, vol. 14(24), pages 1-21, December.
    • Handle: RePEc:gam:jsusta:v:14:y:2022:i:24:p:16891-:d:1005503
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/14/24/16891/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2071-1050/14/24/16891/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Carlos Carbonell-Carrera & Jose Luis Saorin & Dámari Melián Díaz, 2021. "User VR Experience and Motivation Study in an Immersive 3D Geovisualization Environment Using a Game Engine for Landscape Design Teaching," Land, MDPI, vol. 10(5), pages 1-23, May.
    2. Nan Cui & Chen-Chieh Feng & Dan Wang & Jianfei Li & Luo Guo, 2018. "The Effects of Rapid Urbanization on Forest Landscape Connectivity in Zhuhai City, China," Sustainability, MDPI, vol. 10(10), pages 1-17, September.
    3. Wei-Long Wu & Yen Hsu & Qi-Fan Yang & Jiang-Jie Chen, 2021. "A Spherical Video-Based Immersive Virtual Reality Learning System to Support Landscape Architecture Students’ Learning Performance during the COVID-19 Era," Land, MDPI, vol. 10(6), pages 1-23, May.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Gizéh Rangel-de Lázaro & Josep M. Duart, 2023. "You Can Handle, You Can Teach It: Systematic Review on the Use of Extended Reality and Artificial Intelligence Technologies for Online Higher Education," Sustainability, MDPI, vol. 15(4), pages 1-23, February.
    2. Wei-Long Wu & Yen Hsu & Qi-Fan Yang & Jiang-Jie Chen, 2021. "A Spherical Video-Based Immersive Virtual Reality Learning System to Support Landscape Architecture Students’ Learning Performance during the COVID-19 Era," Land, MDPI, vol. 10(6), pages 1-23, May.
    3. Jose Luis Saorin & Carlos Carbonell-Carrera & Allison J. Jaeger & Dámari Melián Díaz, 2023. "Landscape Design Outdoor–Indoor VR Environments User Experience," Land, MDPI, vol. 12(2), pages 1-23, January.
    4. Dohee Kim & Wonhyeop Shin & Heejoon Choi & Jihwan Kim & Youngkeun Song, 2020. "Estimation of Ecological Connectivity in a City Based on Land Cover and Urban Habitat Maps," Sustainability, MDPI, vol. 12(22), pages 1-14, November.
    5. Caige Sun & Shengyong Zhang & Chuncheng Song & Jianhui Xu & Fenglei Fan, 2021. "Investigation of Dynamic Coupling Coordination between Urbanization and the Eco-Environment—A Case Study in the Pearl River Delta Area," Land, MDPI, vol. 10(2), pages 1-17, February.
    6. Simone Valeri & Laura Zavattero & Giulia Capotorti, 2021. "Ecological Connectivity in Agricultural Green Infrastructure: Suggested Criteria for Fine Scale Assessment and Planning," Land, MDPI, vol. 10(8), pages 1-16, July.
    7. Zhonggen Yu, 2022. "Sustaining Student Roles, Digital Literacy, Learning Achievements, and Motivation in Online Learning Environments during the COVID-19 Pandemic," Sustainability, MDPI, vol. 14(8), pages 1-14, April.
    8. Miaomiao Liu & Guishan Chen & Guanhua Li & Yingyu Huang & Kaiwei Luo & Changfa Zhan, 2023. "Landscape Evolution and Its Driving Forces in the Rapidly Urbanized Guangdong–Hong Kong–Macao Greater Bay Area, a Case Study in Zhuhai City, South China," Sustainability, MDPI, vol. 15(17), pages 1-23, August.

    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:jsusta:v:14:y:2022:i:24:p:16891-:d:1005503. 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.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with 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.