Teaching in the Metaverse at the University of Ghana

Sowah Nii Longdon, Aboagye Isaac Adjaye, Derrick E. Sosu, Johnson M. Martin, Winifred Kwakye, Richard Odoi, Gifty Osei, Percy Okae, Ansah Margaret Richardson

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

There is a rapid increase in electronic learning (e-learning) due to recent worldwide happenings such as the COVID-19 pandemic. Many universities around the world had to resort to e-learning for many of their courses. Many universities use e-learning platforms, such as Zoom, Microsoft Teams and Google Meet. These platforms, however, lack interactivity and retention.A more immersive virtual platform is the Metaverse, which is a virtual world that mimics the real world in many ways. This paper presents the design, development and deployment of a prototype for an immersive e-learning platform in the Metaverse. Four approaches were used to implement the proposed e-learning system. implementation from scratch (first principles), implementation using XR Interaction Toolkit (XRITK) and Photon Unity Networking 2 (PUN 2), using Meta Virtual Reality Toolkit (OVRTK) with PUN 2, and using XRITK (Extended Reality Interaction Toolkit) and Normcore. We were able to conclude the last approach - implementation using XRITK and Normcore, was the most feasible and yielded the most stable and presentable application. Although we only had the Meta headset and controllers, we were able to build a Metaverse of the University of Ghana with all the features present in any Metaverse applications.

Original languageEnglish
Title of host publicationProceedings of the 2024 IEEE 9th International Conference on Adaptive Science and Technology, ICAST 2024
PublisherIEEE Computer Society
ISBN (Electronic)9798350385403
DOIs
Publication statusPublished - 2024
Event9th IEEE International Conference on Adaptive Science and Technology, ICAST 2024 - Accra
Duration: 24 Oct 202426 Oct 2024

Publication series

NameIEEE International Conference on Adaptive Science and Technology, ICAST
ISSN (Print)2326-9413
ISSN (Electronic)2326-9448

Conference

Conference9th IEEE International Conference on Adaptive Science and Technology, ICAST 2024
Country/TerritoryGhana
CityAccra
Period24/10/2426/10/24

Keywords

  • e-learning
  • extended reality
  • headset
  • Meta
  • metaverse
  • virtual reality

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