Diverse approaches to learning with immersive Virtual Reality identified from a systematic review

Won, M (通讯作者),Kent St, Bentley, WA 6102, Australia.
2023-4
To investigate how learning in immersive Virtual Reality was designed in contemporary educa-tional studies, this systematic literature review identified nine design features and analysed 219 empirical studies on the designs of learning activities with immersive Virtual Reality. Overall, the technological features for physical presence were more readily implemented and investigated than pedagogical features for learning engagement. Further analysis with k-means clustering revealed five approaches with varying levels of interactivity and openness in learning tasks, from watching virtual worlds passively to responding to personalised prompts. Such differences in the design appeared to stem from different practical and educational priorities, such as accessibility, interactivity, and engagement. This review highlights the diversity in the learning task designs in immersive Virtual Reality and illustrates how researchers are navigating practical and educa-tional concerns. We recommend future empirical studies recognise the different approaches and priorities when designing and evaluating learning with immersive Virtual Reality. We also recommend that future systematic reviews investigate immersive Virtual Reality-based learning not only by learning topics or learner demographics, but also by task designs and learning experiences.
COMPUTERS & EDUCATION
卷号:195
ISSN:0360-1315|收录类别:SCIE
语种
英语
来源机构
Curtin University; Curtin University; Western Sydney University
资助机构
Australian Research Council(Australian Research Council)
资助信息
Funding is provided by the Australian Research Council Discovery Project, Using Immersive Virtual Reality to Enhance Students' Science Visualisation (DP190100160).
被引频次(WOS)
0
被引频次(其他)
0
180天使用计数
3
2013以来使用计数
3
EISSN
1873-782X
出版年
2023-4
DOI
10.1016/j.compedu.2022.104701
学科领域
循证教育学
关键词
Immersive virtual reality Systematic literature review Learning tasks Learning design Cluster analysis
WOS学科分类
Computer Science, Interdisciplinary Applications Education & Educational Research