학술논문

Framework for Scalable Content Development in Hands-On Virtual and Mixed Reality Science Labs
Document Type
Conference
Source
2022 8th International Conference of the Immersive Learning Research Network (iLRN) Immersive Learning Research Network (iLRN), 2022 8th International Conference of the. :1-6 May, 2022
Subject
Computing and Processing
Engineering Profession
General Topics for Engineers
Training
Mixed reality
Real-time systems
Life sciences
Hazards
Noise measurement
X reality
Mixed-reality
virtual-reality
STEM education
science labs
optical tracking
multi-disciplinary uses of XR
Language
Abstract
Authentic hands-on laboratory research is essential for undergraduate STEM education. Yet the tactile authenticity required to impact affective, cognitive, or psychomotor learning outcomes associated with laboratory training remains underexplored. Virtual and mixed reality (VR/MR) have enabled increasingly realistic hands-on STEM training experiences. However, they still lack authenticity with regard to user manipulation of fully functional and realistic laboratory tools, analysis of realistic (i.e. user-acquired) noisy data, and the application of critical thinking skills to draw conclusions from such noisy (and possible faulty) data. Here we present efforts to develop such an approach while also providing faculty content experts tools for code-free customization of VR/MR training experiences via structured spreadsheets. This approach enables nuanced real-time user feedback on laboratory skills such as proper pipetting or sterile technique which are otherwise difficult to provide. It also offers complete safety from chemical, biological, and radiological hazards and is more cost-effective than a traditional lab. This Hands-On Virtual-Reality (HOVR) Lab platform is uniquely enabling and will be valuable in the physical and life sciences for both research and instructional applications.