Synchronized eye movements predict test scores in online video education
Synchronized eye movements predict test scores in online video education
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DOI：
10.1073/pnas.2016980118
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发表时间：
2021-02-02
影响因子：
11.1
通讯作者：
Parra, Lucas C.
中科院分区：
文献类型：
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作者：
Madsen, Jens;Julio, Sara U.;Parra, Lucas C.
经验丰富的教师密切关注他们的学生，在学生似乎迷路时调整他们的教学。这种动态的互动在在线教育中是缺失的。我们假设，专注的学生也会用类似的眼睛跟随视频。因此，对教学视频的关注可以通过跟踪眼球运动来远程评估。在这里，我们表明，在视频演示过程中，注意力集中的学生的眼球运动的主体间相关性要高得多，并且同步的眼球运动可以预测视频中所呈现材料的个人考试成绩。这些发现同样适用于各种制作风格的视频，也适用于偶然的和有意的学习，以及类似的回忆和理解问题。我们使用标准的网络摄像头来重现结果，在教室环境中捕捉眼球运动，在家中有超过1000名参与者，而不需要传输用户数据。我们的研究结果表明，在线教育可以根据学生的实时注意力水平进行调整。
Experienced teachers pay close attention to their students, adjusting their teaching when students seem lost. This dynamic interaction is missing in online education. We hypothesized that attentive students follow videos similarly with their eyes. Thus, attention to instructional videos could be assessed remotely by tracking eye movements. Here we show that intersubject correlation of eye movements during video presentation is substantially higher for attentive students and that synchronized eye movements are predictive of individual test scores on the material presented in the video. These findings replicate for videos in a variety of production styles, for incidental and intentional learning and for recall and comprehension questions alike. We reproduce the result using standard web cameras to capture eye movements in a classroom setting and with over 1,000 participants at home without the need to transmit user data. Our results suggest that online education could be made adaptive to a student's level of attention in real time.