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Using synchronized eye movements to assess attentional engagement
Qing Liu1, Xueyao Yang2, Zekai Chen2
1College of Education and Technology, Zhejiang University of Technology, Hangzhou, 310014, China. psylq@zjut.edu.cn.
Psychological Research
|January 17, 2023
Summary
Synchronized eye movement assessment, using Inter-Subject Correlation (ISC), effectively monitors student attention in online education. Higher ISC indicates greater engagement, while modeling examples improve learning outcomes despite initial attention shifts.
Area of Science:
- Educational Technology
- Cognitive Psychology
- Human-Computer Interaction
Background:
- The rise of online education necessitates novel methods for real-time student monitoring and feedback.
- Assessing attentional engagement is crucial for optimizing online learning experiences.
Purpose of the Study:
- To investigate the efficacy of synchronized eye movement assessment, specifically Inter-Subject Correlation (ISC), for evaluating student attention in online learning environments.
- To explore the impact of eye movement modeling examples on attention and learning outcomes.
Main Methods:
- Two experiments involving university students were conducted.
- Experiment 1: Compared ISC of eye movements under high vs. low attentional engagement (serial subtraction task).
- Experiment 2: Assessed ISC and test scores with and without eye movement modeling examples.
Main Results:
- Higher attentional engagement correlated with significantly higher ISC of eye movements.
- Eye movement modeling examples reduced ISC but significantly increased overall test scores.
- Eye movement trajectories were more consistent in high-engagement states.
Conclusions:
- Inter-Subject Correlation (ISC) of eye movements serves as a reliable objective indicator for assessing and predicting student attentional engagement in online education.
- Eye movement modeling, while potentially distracting, enhances overall teaching effectiveness in online settings.

