Detecting Teacher Expertise in an Immersive VR Classroom: Leveraging Fused Sensor Data with Explainable Machine Learning Models-Reference-Cited by-同舟云学术

Detecting Teacher Expertise in an Immersive VR Classroom: Leveraging Fused Sensor Data with Explainable Machine Learning Models

Published:2023-10-16 Issue: Volume: Page:
ISSN:
Container-title:2023 IEEE International Symposium on Mixed and Augmented Reality (ISMAR)
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Author:

Gao Hong¹,Bozkir Efe²,Stark Philipp³,Goldberg Patricia³,Meixner Gerrit⁴,Kasneci Enkelejda¹,Göllner Richard³

Affiliation:

1. Technical University of Munich,Human-Centered Technologies for Learning

2. University of Tübingen,Human-Computer Interaction

3. University of Tübingen,Hector Research Institute of Education Sciences and Psychology

4. Heilbronn University,UniTyLab

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10316350/10316351/10316424.pdf?arnumber=10316424

Reference52 articles.

1. Predicting expertise among novice programmers with prior knowledge on programming tasks;Ahsan

2. Cross-subject workload classification using pupil-related measures

3. Eye tracking methodology for studying teacher learning: a review of the research

4. The Effect of Expertise on Eye Movement Behaviour in Medical Image Perception

5. A systematic literature review of using immersive virtual reality technology in teacher education;Billingsley;Journal of Interactive Learning Research,2019

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