A review of research on 360-degree video and its applications to education

Abstract

360-degree video is an emerging technology that creates virtually authentic learning environment. It has received considerable attention in the last few years. Nevertheless, not many scholars have reviewed research articles on this technology and its applications in education. This study intends to address this gap. To this end, fifty-two research articles published in the last five years on 360-degree video and its applications in the field of education are reviewed. The study focuses on (1) the tools used in the reviewed research, (2) the theories that were used to frame reviewed research, (3) the methodology used to collect the data, and (4) the findings reported in the reviewed research. In this study, we report the results and make several implications and suggestions for educators and researchers in the field.

Supplemental data for this article is available online at https://doi.org/10.1080/15391523.2021.1928572 .

Keywords:

• 360-degree video
• applications in education
• review

Notes on contributors

Dr. Rustam Shadiev is a professor in the School of Education Science, Nanjing Normal University (China) and a distinguished professor of Jiangsu province (China). He is also a Fellow of the British Computer Society and a Senior Member of the Institute of Electrical and Electronics Engineer. Rustam Shadiev was selected as the 2020 Most Cited Chinese Researchers in the field of Education by the Elsevier. His research interest includes advanced learning technologies to support language learning and cross-cultural education.

Miss Yang Liuxin is Master of Science students in the School of Education Science, Nanjing Normal University (China). Her research interest relates to technology-assisted language learning.

Dr. Yueh Min Huang is a Chair Professor in Department of Engineering Science and Institute of Education, National Cheng-Kung University, Taiwan. His research interests include e-Learning, multimedia communications, and artificial intelligence.

Authors’ contributions

RS, YL and YMH contributed to the conception. RS and YL designed the work, collected the data, analyzed and interpreted data. YL drafted the work, RS and YMH substantively revised it. YMH was responsible for correspondence. All authors approved the submitted version and agreed both to be personally accountable for the author’s own contributions and to the accuracy the work.

Disclosure statement

The authors declare that they have no competing interests

Disclosure statement

The authors declare that they have no competing interests

Data availability statement

The dataset will be provided on request after we finish this project.