Journal article
Exploring how shared gaze visualizations support remote one-on-one teaching: A mixed method study
The Journal of the learning sciences, Vol.34(3), pp.201-245
05/27/2025
DOI: 10.1080/10508406.2025.2469702
Abstract
Background
The COVID pandemic exposed limitations in online learning platforms. This study explores Real-time Shared Gaze Visualizations (SGVs), which use eye-tracking data to restore non-verbal social cues and improve teacher-learner communication. We aim to: (1) identify gaze patterns linked to learning, (2) compare these patterns across visual augmentation conditions, and (3) examine their impact from a teaching perspective.
Methods
We analyze eye-tracking data from 75 learners completing microcontroller-based tasks with instructor support. The activity included an instruction phase and a learner-led practice phase. Both quantitative and qualitative analyses were used to examine learning differences across conditions.
Findings
Joint visual attention correlated with learning gains during instruction and with instructors’ predictions of learner success in practice. Video analysis revealed three key affordances of SGVs: (1) tracking learners’ cognitive states, (2) using gaze as deictic gestures, and (3) providing just-in-time support.
Contribution
SGVs can enhance remote one-on-one teaching by compensating for missing nonverbal cues. As eye-tracking technology becomes more accessible, SGVs may improve online learning, especially for STEM subjects involving physical objects. Future research should explore their role in learner-led, tangible computing tasks.
Details
- Title: Subtitle
- Exploring how shared gaze visualizations support remote one-on-one teaching: A mixed method study
- Creators
- Bertrand Schneider - Harvard UniversityTonya Bryant - Harvard UniversityGahyun Sung - Harvard UniversityTianyi Feng - Harvard University
- Resource Type
- Journal article
- Publication Details
- The Journal of the learning sciences, Vol.34(3), pp.201-245
- DOI
- 10.1080/10508406.2025.2469702
- ISSN
- 1050-8406
- eISSN
- 1532-7809
- Publisher
- ROUTLEDGE JOURNALS, TAYLOR & FRANCIS LTD; ABINGDON
- Language
- English
- Electronic publication date
- 03/17/2025
- Date published
- 05/27/2025
- Academic Unit
- Psychological and Quantitative Foundations
- Record Identifier
- 9984801618302771
Metrics
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