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Convergence of Extended Reality, Artificial Intelligence, Machine Leaning, and Wearable Sensors in the Field of Education

  • Emory University
  • East Carolina University

Research output: Chapter in Book/Report/Conference proceedingChapterpeer-review

1 Scopus citations

Abstract

Across the ever-changing landscape of educational and training technologies, the intersection of artificial intelligence (AI), machine learning (ML), extended reality (XR), and wearable sensors will provide a means to understand educational data and student learning in ways we have yet to be fully realize. The integrated combination of AI, ML, XR, and wearable sensors promises a significant shift in how education is delivered and experienced by the individual student. The prospect of tailored, student-centric learning experiences challenges traditional notions of one-size-fits-all education and truly centers the student in the process. This digital transformation represents an opportunity for educators to leverage technology in unprecedented ways, creating adaptive environments that respond dynamically to each student's learning style, pace, and preferences.

Original languageEnglish
Title of host publicationMental Health Virtual Reality
Subtitle of host publicationThe Power of Immersive Worlds
Publisherwiley
Pages113-128
Number of pages16
ISBN (Electronic)9781394278480
ISBN (Print)9781394278459
DOIs
StatePublished - Jan 1 2025

Keywords

  • artificial intelligence
  • extended reality
  • machine learning
  • wearable sensors

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