电子学习系统中分组学生的教育数据挖掘

Divna Krpan, S. Stankov
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引用次数: 16

摘要

在过去的几十年里,电子学习系统的普及和使用有所增加。学生通过与系统的互动产生了大量的数据,而这些数据往往没有被利用。由于存在大量此类数据,因此使用数据挖掘技术作为适当的解决方案。在本文中,我们展示了具体的电子学习系统的实践经验,并应用数据挖掘技术进行分析,作为对具有相似特征的学生进行分组的工具。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Educational data mining for grouping students in e-learning system
The popularity and the use of e-learning systems increased through last decades. Students produce a lot of data through their interactions with the system, which is often not exploited. Since there is a vast amount of such data, data mining techniques were used as the appropriate solution. In this paper we show practical experience with specific e-learning system and applied data mining technique for the analysis which served as a tool for grouping students with similar characteristics.
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