Use of Immersive Multifunctional Hub in the Educational Process for the Study of Humanities
Year: 2024
Type: article
Abstract: The aim of the article is to analyse the impact of immersive technologies (virtual reality (VR), augmented reality (AR), mixed reality (MR)) on the educational process, particularly, in the study of humanities. This research also studies benefits of using these technologies in developing practical skills, increasing students’ engagement and deeper understanding the educational material. The article also analyses applying the immersive multifunctional hub at Western Ukrainian National University, which provides new opportunities for interdisciplinary cooperation and adaptation of the educational process to the students’ individual needs. Research methods. The study is based on the interdisciplinary approach, using both quantitative and qualitative data collection methods. Methods of scientific literature analysis, questionnaires and observation, as well as experimental methods, including the use of immersive technologies in educational environments, are applied. The source base of the study includes modern academic publications and empirical data. The scientific novelty of this research grounds on the introduction of immersive technologies as a tool for improving learning outcomes in the study of humanities. It is shown that these technologies can significantly increase the students’ engagement, motivation and ability to think critically. Additionally, it is found out that VR and AR can be used to adapt the educational process to the individual needs of students. Main conclusions. The results of the study prove that the introduction of immersive technologies contributes to improving the quality of the educational process, making it more interactive and practice-oriented. Such technologies provide not only a deeper understanding of the material, but also open up new opportunities for interdisciplinary studying and research.
Authors: Lesia Bilovus, Olena Vasylkiv
Institution: West Ukrainian National University
Language: English
Subfield: Computer Vision and Pattern Recognition
Field: Computer Science
Domain: Physical Sciences
SDG: Quality education
Open Access status: diamond
OpenAlex ID: W4405759286