Immersive virtual reality for supporting complex scientific knowledge

Augmenting our understanding with physiological monitoring

Bibliographic Data

ID21297220
AuthorsMichelle Lui (0000-0001-9707-1996, corresponding author), Rhonda Mcewen (0000-0002-9451-2909), Martha Mullally
Year2020
Volume51
Issue6
Pages2181-2199
Publication date2020-11-01
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueBritish Journal of Educational Technology (JOURNAL)
Journal identifiersISSN: 0007-1013 • E-ISSN: 1467-8535
PublisherWiley (PUBLISHER • GB)
DOI10.1111/bjet.13022
OpenAlexW3080181210
LanguageEN
Citations received13
References cited40

Educators are recognizing the potential power of immersive virtual reality (IVR) to allow learners to experience previously intangible firsthand phenomena, such as atoms and molecules. In this study, an IVR simulation of a complex gene regulation system was co‐designed with an undergraduate microbiology course instructor. The course, with 234 students, was taught using active learning strategies, including peer instruction and exposure to a two‐dimensional computer simulation. Thirty‐four students from the course participated in an interactive IVR experience using head‐mounted displays. We assess students' conceptual understanding using tests, multimodal data collected during the IVR sessions (including video analysis in combination with physiological sensor data and eye‐tracking data) as well as semi‐structured interviews. We found that students who were seated while in IVR demonstrated significantly higher conceptual understanding of gene regulation at the end of the course and higher overall course outcomes, as compared to students who experienced the course as originally designed (control). However, students who experienced IVR in a standing position performed similarly to the control group. In addition, learning gain appears to be influenced by a combination of prior knowledge and how IVR is experienced (ie, sitting vs. standing). Learning implications for the connections between sensorimotor systems and cognition in IVR are discussed. Practitioner Notes What is already known about this topic Research on the educational applications of IVR for K‐12 and higher education emerged in the nineties, which can be summarized by several key reviews and meta‐reviews surveying the field but the answer to questions about the “added‐value” of IVR is often mixed (Dede, Jacobson, & Richards, 2017; Merchant, Goetz, Cifuentes, Keeney‐Kennicutt, & Davis, 2014)—we turn to the question of when IVR is effective for student learning. A common issue reported by researchers is that cognitive overload can hinder learning in IVR (Makransky & Lilleholt, 2018; Moreno & Mayer, 2004). Research considering the contribution of body positioning and sensorimotor perception on cognitive load is just emerging (Funk et al ., 2012; Nerhood & Thompson, 2016). What this paper adds Our finding that learning outcome is influenced by a combination of how IVR is experienced (ie, sitting vs. standing position) and students’ level of prior domain knowledge, builds on earlier findings that suggest IVR experiences to be taxing on cognitive resources and further suggests that body position and prior knowledge are related mitigating factors for learning outcomes in an IVR experience—thus a more nuanced relationship exists between cognitive resources, prior knowledge and learning outcomes in IVR. We offer a new approach for using multimodal physiological measures to gain insight into the conditions under which IVR impacts the learning experience. Implications for practice and/or policy Implications of our preliminary study suggest for a seated IVR learning experience for supporting students with lower levels of prior knowledge of complex concepts, while students with higher levels of prior knowledge could choose between either sitting or standing, full‐body experience

Cognition · Human–computer interaction · Multimedia · Pedagogy · Tracking (education) · Computer Science · Educational Games and Gamification · Psychology · Virtual Reality Applications and Impacts · Visual and Cognitive Learning Processes

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