MESH360: a framework for designing MMR-enhanced clinical simulations

  • Thomas Cochrane Centre for Learning and Teaching, Auckland University of Technology, Auckland, New Zealand
  • Stephen Aiello Paramedicine, Auckland University of Technology, Auckland, New Zealand
  • Stuart Cook Garden City Aviation, Nelson, New Zealand
  • Claudio Aguayo Centre for Learning and Teaching, Auckland University of Technology, Auckland, New Zealand
  • Norm Wilkinson Paramedicine, Auckland University of Technology, Auckland, New Zealand
Keywords: immersive reality, biometrics, design-based research, critical care health education


This article evaluates the results of two prototype iterations of a design-based research project that explores the application of mobile mixed reality (MMR) to enhance critical care clinical health education simulation in Paramedicine. The project utilises MMR to introduce critical elements of patient and practitioner risk and stress into clinical simulation learning scenarios to create more authentic learning environments. Subjective participant feedback is triangulated against participant biometric data to validate the level of participant stress introduced to clinical simulation through the addition of MMR. Results show a positive impact on the learning experience for both novice and professional paramedic practitioners. The article highlights the development of implementation and data triangulation methodologies that can be utilised to enhance wider clinical simulation contexts than the original context of Paramedicine education. We argue that our collaborative transdisciplinary design team model provides a transferable framework for designing MMR-enhanced clinical simulation environments.

This article is part of the special collection Mobile Mixed Reality Enhanced Learning edited by Thom Cochrane, James Birt, Helen Farley, Vickel Narayan and Fiona Smart. More papers from this collection can be found here.


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How to Cite
Cochrane T., Aiello S., Cook S., Aguayo C., & Wilkinson N. (2020). MESH360: a framework for designing MMR-enhanced clinical simulations. Research in Learning Technology, 28.
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