Creating and Understanding Individualized Real-Time Analytic Data Using AI for Student Academic Success While Reducing Bias in a Virtual Classroom Environment

Authors

  • Raphael Freiwirth Miramar College, San Diego, CA, USA
  • Johannan Hjersman The Commons XR, San Diego, CA, USA
  • Elena Zablah The Commons XR, San Diego, CA, USA

Keywords:

Analytics, Bias, Academic Success, AI Modeling, Virtual Reality, DEI, Anonymity, RTI, PII, Immersive Learning

Abstract

Today’s technology finally allows real-time digitized data from a classroom environment, but what does it mean and how can we get structured contextual aspects from that to make a difference in how students learn? While an instructor’s observational skills and assessment related activities rule the environment today, classrooms of over 20 kids with distractions to students can mitigate all those efforts [1]. We propose using an interactive and immersive (3D) Experience for dual purposes, the first is to obtain additional observational data points and assessment type activities to improve attentiveness augmented with questionnaires to assess a student’s well-being. The second is to use anonymity capabilities to further allow for openness and lowering of bias from other students for students to express themselves. Virtual reality is a tool to do just that. Join us to explore the possibilities of a classroom environment that can help the next generation of students transcend the norms of today and provide a smoother road to academic success!

References

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Published

2023-06-17

How to Cite

Freiwirth, R., Hjersman, J., & Zablah, E. (2023). Creating and Understanding Individualized Real-Time Analytic Data Using AI for Student Academic Success While Reducing Bias in a Virtual Classroom Environment. Immersive Learning Research - Practitioner, 1(1), 57–60. Retrieved from https://publications.immersivelrn.org/index.php/practitioner/article/view/99