Digital Transformations of Classrooms in Virtual Reality
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Abstract (arXiv)
With rapid developments in consumer-level head-mounted displays and computer graphics, immersive VR has the potential to take online and remote learning closer to real-world settings. However, the effects of such digital transformations on learners, particularly for VR, have not been evaluated in depth. This work investigates the interaction-related effects of sitting positions of learners, visualization styles of peer-learners and teachers, and hand-raising behaviors of virtual peer-learners on learners in an immersive VR classroom, using eye tracking data. Our results indicate that learners sitting in the back of the virtual classroom may have difficulties extracting information. Additionally, we find indications that learners engage with lectures more efficiently if virtual avatars are visualized with realistic styles. Lastly, we find different eye movement behaviors towards different performance levels of virtual peer-learners, which should be investigated further. Our findings present an important baseline for design decisions for VR classrooms.
Key facts. Cited by 9 papers in the map (data through 7 Oct 2026). First posted on arXiv 23 Jan 2021.
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Citing papers per year: 2023: 1; 2024: 2; 2025: 6.
9 papers.
- 2024Embedding Large Language Models into Extended Reality: Opportunities and Challenges for Inclusion, Engagement, and Privacycited by 14
- 2023Eye-tracked Virtual Reality: A Comprehensive Survey on Methods and Privacy Challengescited by 12
- 2024Evaluating Large Language Models on the GMAT: Implications for the Future of Business Educationcited by 3
- 2025Exploring Context-aware and LLM-driven Locomotion for Immersive Virtual Realitycited by 1
- 2025Examining the Role of LLM-Driven Interactions on Attention and Cognitive Engagement in Virtual Classroomscited by 1
- 2025Predicting 3D Motion from 2D Video for Behavior-Based VR Biometricscited by 0
- 2025Behavioral Biometrics for Automatic Detection of User Familiarity in VRcited by 0
- 2025Deep Learning-Based Visual Fatigue Detection Using Eye Gaze Patterns in VRcited by 0
- 2025Exploring User Acceptance and Concerns toward LLM-powered Conversational Agents in Immersive Extended Realitycited by 0
- 2025Exploring User Acceptance and Concerns toward LLM-powered Conversational Agents in Immersive Extended Reality17 Dec 2025
- 2025Deep Learning-Based Visual Fatigue Detection Using Eye Gaze Patterns in VR14 Oct 2025
- 2025Behavioral Biometrics for Automatic Detection of User Familiarity in VR14 Oct 2025
- 2025Examining the Role of LLM-Driven Interactions on Attention and Cognitive Engagement in Virtual Classrooms12 May 2025
- 2025Exploring Context-aware and LLM-driven Locomotion for Immersive Virtual Reality24 Apr 2025
- 2025Predicting 3D Motion from 2D Video for Behavior-Based VR Biometrics5 Feb 2025
- 2024Embedding Large Language Models into Extended Reality: Opportunities and Challenges for Inclusion, Engagement, and Privacy6 Feb 2024
- 2024Evaluating Large Language Models on the GMAT: Implications for the Future of Business Education2 Jan 2024
- 2023Eye-tracked Virtual Reality: A Comprehensive Survey on Methods and Privacy Challenges23 May 2023