Paper
26 June 2024 Examining virtual reality acceptance in physical education: an observational study
Author Affiliations +
Proceedings Volume 13188, International Conference on Medical Imaging, Electronic Imaging, Information Technologies, and Sensors (MIEITS 2024); 1318802 (2024) https://doi.org/10.1117/12.3030573
Event: International Conference on Medical Imaging, Electronic Imaging, Information Technologies, and Sensors (MIEITS 2024), 2024, Kuala Lumpur, Malaysia
Abstract
Virtual reality (VR) has become a popular teaching tool in recent years and is increasingly utilized in various fields, including physical education. This study examines the adoption of VR technology within physical education, exploring its potential impact on body movements compared to traditional methods. Employing the ADDIE instructional design framework, VR applications are crafted by integrating principles of motor learning alongside the technology acceptance model (TAM). Individuals aged 19 to 23 years old were segregated into VR and traditional (TR) cohorts, participating in various activities such as zig-zag runs, jumping jacks, rope skipping, and obstacle jumps. By measuring heart rate changes before and after activities, the study examines the effectiveness of VR in inducing bodily responses similar to traditional methods. Additionally, interviews with five students provide insights into their perceptions of the technology. Results indicate the widespread appeal and perceived utility of VR in physical education among participants, highlighting its ease of use and efficacy in enhancing learning experiences.
© (2024) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Muhammad Aminuddin A. M. Hamizi, Nur Azlina M. Mokmin, and Ummi Haniffah Ariffin "Examining virtual reality acceptance in physical education: an observational study", Proc. SPIE 13188, International Conference on Medical Imaging, Electronic Imaging, Information Technologies, and Sensors (MIEITS 2024), 1318802 (26 June 2024); https://doi.org/10.1117/12.3030573
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KEYWORDS
Virtual reality

Design

Heart

Education and training

Multimedia

Image segmentation

Artificial intelligence

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