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Application of clustering algorithm in the feature analysis of network learning behavior

机译:聚类算法在网络学习行为的特征分析中的应用

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Cluster analyses learning behavior feature of learners in the network learning, using clustering algorithm, classify learning behavior feature of learners, construct learner model library and provide a reference to education policy-makers so that they can make timely scientific, rational, and personalized teaching strategies, based on the personality feature of learners, and achieve personalized and intelligent of network education.
机译:群集分析学习者的学习行为特征在网络学习中,使用聚类算法,分类学习者的学习行为特征,构建学习者模型库,并为教育政策制定者提供参考,以便他们可以及时进行科学,理性和个性化的教学策略,基于学习者的个性特征,实现网络教育的个性化和智能。

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