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Body in motion, attention in focus: A virtual reality study on teachers' movement patterns and noticing

  • Yizhen Huang*
  • , Eric Richter
  • , Thilo Kleickmann
  • , Katharina Scheiter
  • , Dirk Richter
  • *Corresponding author for this work

Research output: Journal contributionsJournal articlesResearchpeer-review

16 Citations (Scopus)

Abstract

When people navigate a space to perform tasks, their body and eye movements are closely linked. Within the classroom context, characteristics of teachers' body movements may be related to the noticing of relevant classroom events, in particular, visual attention to student disruptions. In the current study, we investigated this relationship in an immersive virtual reality (IVR) classroom that offered a standardized environment for tracking teachers' body and eye movements. Based on time series data collected during a short teaching task with 21 preservice teachers, we conducted K-means clustering with body movement features. We identified three distinctive patterns, which we labeled as immobile, anchored, and dynamic (body) movement patterns. Teachers with dynamic movement patterns venture away from the teacher's desk to far corners of the room; they don't dwell in one location for long but rather move continuously to various parts of the classroom, creating a dispersed movement. Dynamic movement patterns were associated with the best visual attention performance, defined as the number, speed, and duration of fixations on a classroom disruption. Our findings demonstrate the existence of unique and differentiable movement patterns among preservice teachers that have implications for teacher noticing, teacher–student interaction, and instructional quality.

Original languageEnglish
Article number104912
JournalComputers and Education
Volume206
Number of pages21
ISSN0360-1315
DOIs
Publication statusPublished - 12.2023
Externally publishedYes

Bibliographical note

Publisher Copyright:
© 2023 The Authors

Research areas and keywords

  • Augmented and virtual reality
  • Data science applications in education
  • Improving classroom teaching
  • Simulations
  • Teacher professional development
  • Educational science

ASJC Scopus Subject Areas

  • General Computer Science
  • Education
  • Computer Science(all)

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