基于关联规则挖掘的教学分析

IEEE Conference Anthology Pub Date : 1900-01-01 DOI:10.1109/ANTHOLOGY.2013.6784997

Chen Weiyu, Jianan

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引用次数: 3

摘要

数据挖掘中的关联规则可以发现大量数据集之间有趣的联系。利用改进的Apriori算法对学生的课程成绩进行分析，揭示各章节对学习效果的关系和影响，区分影响学生成绩的关键因素。然后我们可以总结出有价值的信息，为提高教与学的有效性提供指导。

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Teaching analysis based on association rule mining

Association rule in data mining could found interesting link between a large amounts of data set. Using the improved Apriori algorithm on analyzing the grades of students' course, which revealed the relationship and influence on learning effect during each chapter, distinguish the key factors that affect their achievement. After that we can conclude valuable information to provide guidance for improving teaching and learning effectiveness.

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IEEE Conference Anthology

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