VR IGLOOTM: A VR-Based Teaching-Learning Model for Distance Education

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Author(s)

Yu Jin Choi 1 Hae Chan Na 1 Yoon Sang Kim 2,*

1. BioComputing Lab, Department of Computer Science and Engineering, Korea University of Technology and Education (KOREATECH), Cheonan 31253, Republic of Korea

2. BioComputing Lab, Institute for Bioengineering Application Technology, Department of Computer Science and Engineering, KOREATECH, Cheonan 31253, Republic of Korea

* Corresponding author.

DOI: https://doi.org/10.5815/ijmecs.2025.02.01

Received: 4 Jul. 2024 / Revised: 7 Nov. 2024 / Accepted: 19 Feb. 2025 / Published: 8 Apr. 2025

Index Terms

Virtual Reality, Distance Education, Teaching-Learning Model, Education Model

Abstract

Traditional distance learning has been widely adopted for its capacity to provide educational access to a broad and diverse audience, overcoming spatial and temporal limitations. However, it needs to deliver the same immersion and learning effectiveness as face-to-face instruction, particularly in courses requiring hands-on practice, where these limitations become more pronounced. To address this, virtual reality (VR)-based distance learning has gained attention as a potential solution. Previous studies have confirmed that VR-enhanced distance learning can improve educational outcomes; however, a standardized teaching-learning model designed explicitly for VR-based distance learning has yet to be established. Consequently, instructors have often relied on conventional models, leading to variability in instructional quality. This paper proposes the VR IGLOO model, a structured VR-based teaching-learning framework tailored for distance education. For this purpose, analysis of the conventional studies and focus group interview (FGI) of the expert group were conducted. And the validity of the proposed model was verified through Delphi validation.

Cite This Paper

Yu Jin Choi, Hae Chan Na, Yoon Sang Kim, "VR IGLOOTM: A VR-Based Teaching-Learning Model for Distance Education", International Journal of Modern Education and Computer Science(IJMECS), Vol.17, No.2, pp. 1-14, 2025. DOI:10.5815/ijmecs.2025.02.01

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