Cluster Analysis of Learners Based on Video Annotations

Masako Furukawa, Y. Yaginuma, Tsuneo Yamada
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引用次数: 1

Abstract

The analysis of students' learning behaviors is important to realize adaptive and effective feedback to learners. To realize such feedback for learning job interview, in this paper, we propose to use cluster analysis of learners based on video annotations. The learners are clustered into 3 clusters, and the relationship between clusters and attributes of participants is discussed. The realization of feedback to learners is also discussed.
基于视频注释的学习器聚类分析
对学生学习行为的分析对于实现对学习者的适应性、有效性反馈具有重要意义。为了实现学习型求职面试的反馈,本文提出了基于视频注释的学习者聚类分析方法。将学习者分为3个类,讨论了类与参与者属性之间的关系。对学习者反馈的实现也进行了讨论。
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