XR for Learning and Performance Augmentation

Mark Lee, Chair (Contact the Chair)
Mikhail Fominykh, Co-Chair (Contact the Co-Chair)
Fridolin Wild, Co-Chair (Contact the Co-Chair)

Contact the SIG chair for an invitation.

This SIG's meets on the fourth Wednesday of each month. The next meeting will be on Wednesday, August 22 at 10:00AM ET. Connect to the meeting using this web conference URL.



The ICICLE XR for Learning and Performance Augmentation SIG aims to identify and build upon opportunities for supporting learning engineers to leverage current and future virtual reality (VR), augmented reality (AR), mixed reality (MR), and other XR technologies for supporting and enhancing learning and human performance in evidence-based and research-grounded ways.

This will be accomplished through activities such as the following:

  1. Environmental and horizon scanning with respect to XR and related/complementary technologies for learning and performance augmentation, including their current applications, future potential, and barriers to adoption across a range of sectors, industries, geographical regions, and learning contexts;
  2. Distilling from the literature an evidence and knowledge base for informing the development of effective and engaging XR solutions that meet learning and performance augmentation needs, and identifying gaps in need of future research;
  3. Defining the XR-related technical skills and other competencies needed by learning engineers and providing recommendations on how those might be developed through academic curricula as well as workforce capability-building;
  4. Undertaking an audit and gap analysis of IEEE and other learning technology data standards to determine what is needed (e.g., building on existing standards and/or developing new standards) to assist interoperability and promote uptake of XR for learning and performance augmentation;
  5. Fostering closer ties and cooperation between education, industry, and government to help maximize the positive impacts and outcomes of XR for learning and performance augmentation.


Karen Alexander, XRconnectED, USA
Cindy Ball, Oculus, USA
Peter Berking, Eduworks Corporation, USA
Mark Billinghurst, University of South Australia, Australia
Malcolm Brown, EDUCAUSE, USA
Adrian David Cheok, Imagineering Institute, Malaysia and City University of London, UK
Tom Corbett, Carnegie Mellon University, USA
Emory Craig, The College of New Rochelle, USA and Digital Bodies, USA
Chris Dede, Harvard University, USA
Henry Duh, La Trobe University, Australia
Paula Durlach, Army Research Lab, USA
Ellen Flaherty, Unity Technologies, USA
Maya Georgieva, The New School, USA and Digital Bodies, USA
Mark Griswold, Case Western Reserve University, USA
Jason Jerald, Next Gen Interactions, USA
Hannes Kaufmann, Vienna University of Technology, Austria
Pradeep Khanna, Global Mindset, Australia
Eric Klopfer, Massachusetts Institute of Technology, USA
Jamie Justice, EON Reality, USA
Richard Lamb, University at Buffalo, USA
Jessica Lindl, Unity Technologies, USA
Eleni Mangina, University College Dublin, Ireland
Shailey Minocha, The Open University, United Kingdom
Carlos Ochoa, ONE Digital Consulting, Spain
Joe Parlier, zSpace, USA
Jeffrey Pomerantz, Simmons College, USA
Ekaterina Prasolova-Førland, Norwegian University of Science and Technology, Norway
Jungwoo Ryoo, Penn State Altoona, USA
Michael 'Gus' Schmedlen, HP, USA
Matt Scott, Pearson, UK
Jason Swan, L3 Link Training & Simulation, USA
Barbara Truman, University of Central Florida, USA
Craig Vezina, ZSchool.org and Realcast.io XR, France
Kurt Winkelmann, Florida Institute of Technology, USA
Sue Workman, Case Western Reserve University, USA

In collaboration with: