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：
10.1101/809558
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发表时间：
2019-10
期刊：
影响因子：
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通讯作者：
J. Madsen;Sara U Júlio;Pawel J Gucik;Richard Steinberg;L. Parra
中科院分区：
文献类型：
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作者：
J. Madsen;Sara U Júlio;Pawel J Gucik;Richard Steinberg;L. Parra
意义教育越来越多地在网上提供，但学生们真的在关注吗？在这里，我们证明了视频教学的有效性，可以远程评估与标准的网络摄像头。具体来说，我们发现，注意力集中的学生在观看教学视频时有类似的眼球运动，眼球运动的同步是个人学习表现的一个很好的预测。正如我们在这里所展示的，在保护隐私的同时测量眼球运动的同步性，有可能使在线教育适应注意力状态，并推进对不同在线教育形式功效的机制研究。注意力已经成为一种在线商品。随着视频内容的日益丰富，大规模的注意力遥感可能与教育以外的领域有关，包括娱乐，广告和政治。有经验的教师密切关注他们的学生，当学生似乎迷路时调整他们的教学。这种动态互动在在线教育中是缺失的。我们假设，专注的学生用他们的眼睛类似地跟随视频。因此，可以通过跟踪眼球运动来远程评估对教学视频的注意力。在这里，我们表明，在视频演示过程中的眼动的主体间相关性是相当高的注意力集中的学生和同步的眼动是预测的个人测试成绩的材料在视频中。这些发现在各种制作风格的视频中重复，对于偶然和有意学习以及回忆和理解问题都是如此。我们使用标准网络摄像头在教室环境中捕捉眼球运动，并在家中与超过1，000名参与者一起重现结果，而无需传输用户数据。我们的研究结果表明，在线教育可以在真实的时间适应学生的注意力水平。
Significance Education is increasingly delivered online, but are students actually paying attention? Here we demonstrate that efficacy of video instruction can be assessed remotely with standard web cameras. Specifically, we show that attentive students have similar eye movements when watching instructional videos and that synchronization of eye movements is a good predictor of individual learning performance. Measuring synchronization of eye movements while preserving privacy, as we have shown here, has the potential to make online education adaptive to attentional state and advance mechanistic studies on the efficacy of different online education formats. Attention has become a commodity online. With the increasing abundance of video content, remote sensing of attention at scale may be relevant beyond education, including entertainment, advertising, and politics. 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.