通过观察课堂活动来评估儿童的特征

M. Shiomi, Tsuyoshi Komatsubara, T. Kaczmarek, T. Kanda, H. Ishiguro
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引用次数: 2

摘要

好的老师认识到每个学生的不同之处,并调整他们的支持方式。我们复制这样的能力来了解儿童的个体特征。我们的方法是使用传感器网络,根据五年级学生的日常课堂行为来观察他们的社会信号。我们使用深度相机追踪它们的位置,并使用RGB相机识别它们。我们观察了84名儿童(三个班),并使用这些结果来估计与学校有关的儿童特征:自我效能感、表现目标和考试成绩。对目标变量的估计精度为73.0-74.7%。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Estimating Children's Characteristics by Observing their Classroom Activities
Good teachers recognize how each of their students is different from the others and adapt how they support them. We replicate such a capability to understand the individual specificities of children. Our approach observed the social signals of fifth graders based on their daily classroom behavior using a sensor network. We used depth cameras to track their positions and identified them with RGB cameras. We observed 84 children (three classes) and used these results to estimate school-related children's characteristics: self-efficacy, performance-goal, and exam scores. The estimation yielded 73.0–74.7% accuracy for the target variables.
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