Collaborative Virtual Reality Environment Structural Model Development for Higher Education Remote Learning
Smart Mobile Communication & Artificial Intelligence (IMCL 2023). Lecture Notes in Networks and Systems. Vol.936 2024
Evija Cibuļska, Katrina Boločko

The modern education environment has been facing multiple technological and social challenges in recent years. Due to recent global events such as the COVID-19 pandemic, multiple rising technologies such as Virtual Reality and Artificial Intelligence solutions have been introduced as an alternative to traditional learning methods. At the higher education level, universities are now looking for solutions that could modernize the ever-changing learning environment as well as digitalize already existing educational content, find ways to make study courses more understandable and contextually adaptable to each individual student and their learning style. The goal of this research is an in-depth assessment of development tools for collaborative Virtual Reality Environment (VRE) design and evaluation of the technological limitations and challenges for the implementation of remote laboratories in higher education. A remote laboratory is an interactive digital solution for collaborative work within a virtual classroom. Collaborative VRE can provide an inclusive and immersive learning experience, however, extensive research into the necessary tools and functionality is needed for the development and implementation of this technology in higher education.


Keywords
Collaborative Learning | Remote Laboratories | Virtual Reality
DOI
10.1007/978-3-031-54327-2_6
Hyperlink
https://link.springer.com/chapter/10.1007/978-3-031-54327-2_6

Cibuļska, E., Boločko, K. Collaborative Virtual Reality Environment Structural Model Development for Higher Education Remote Learning. In: Smart Mobile Communication & Artificial Intelligence (IMCL 2023). Lecture Notes in Networks and Systems. Vol.936, Greece, Thessaloniki, 9-10 November, 2023. Cham: Springer, 2024, pp.61-68. ISBN 9783031543265. ISSN 2367-3370. Available from: doi:10.1007/978-3-031-54327-2_6

Publication language
English (en)
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