Work-in-Progress—Post-COVID: Adapting Education to a Changing Educational Environment through Immersive Technology

Authors

  • Johannan Hjersman Data Research Dept. The Commons XR Davis, CA
  • Khaing Mon Data Research Dept. The Commons XR Palo Alto, CA
  • Solomiya Nysak Data Research Dept. The Commons XR Ann Arbor, MI
  • Ruowei Peng Data Research Dept. The Commons XR Miami, FL
  • Ray Freiwirth CEO The Commons XR San Diego, CA

DOI:

https://doi.org/10.56198/

Keywords:

COVID, Student engagement, Bias-free, Immersive technology, Artificial intelligence

Abstract

In a Post-COVID world, Hybrid classes remain essential as students face challenges in attending them in person. This creates additional engagement issues. The creation of an easy-to-use platform to enable this mixed-mode classroom is critical for teachers that are frustrated by the difficult management of hybrid classrooms. An aspect is student engagement, which today has no established analytical mechanism to evaluate during classroom sessions. This work-in-progress paper describes a technology that has the ability to obtain real-time analytic data to determine the engagement of all students at all times and helps teachers to know which students are lagging early on.

Published

04-12-2025

How to Cite

Work-in-Progress—Post-COVID: Adapting Education to a Changing Educational Environment through Immersive Technology. (2025). Immersive Learning Research - Academic, 1(1), 409-411. https://doi.org/10.56198/

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