Analysis of Online Learning Behavior Based on Clustering Algorithm

Jing Dong, Zhanglong Wang, Silin Li
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Abstract

With the development of “Internet + education”, learners use online learning platform to carry out independent learning into the popularization stage, this study constructed online learning behavior analysis model. The clustering algorithm of data mining technology is used to analyze and generate a learning behavior analysis report, which promotes teachers to improve their teaching and implement teaching intervention, and provides suggestions for learners to improve their learning behavior.
基于聚类算法的在线学习行为分析
随着“互联网+教育”的发展,学习者利用在线学习平台开展自主学习进入普及阶段,本研究构建了在线学习行为分析模型。利用数据挖掘技术的聚类算法进行分析,生成学习行为分析报告,促进教师改进教学,实施教学干预,为学习者改善学习行为提供建议。
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