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How to Mine Student Behavior Patterns in the Traditional Classroom

机译:如何在传统教室中挖掘学生行为模式

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Many learning analyses focus on online learning courses, such as massive open online courses (MOOCs). The analysis of learning behaviors from access log data is expected to be of benefit to instructors and learners. However, there are few studies that focus on the reading logs of digital textbooks in the traditional classroom. This study adopts a new approach to analyzing learning behavior patterns through digital textbook use. Students were grouped into four clusters using k-means clustering to analyze their learning behavior patterns.
机译:许多学习分析专注于在线学习课程,例如大规模开放的在线课程(MooCs)。 访问日志数据的学习行为分析预计对教师和学习者有益。 但是,很少有研究专注于传统教室中数字教科书的阅读日志。 本研究采用了一种通过数字教科书分析学习行为模式的新方法。 学生使用K-Means Clustering分组为四个集群,以分析他们的学习行为模式。

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