基于Moodle的电子学习使用研究中的子组发现

C. J. Carmona, P. González, M. J. del Jesus, Sebastián Ventura
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引用次数: 16

摘要

本文利用基于web的教育系统数据,对几种子群发现算法进行了实验研究。这一贡献的主要目的是提取不寻常的子组,以描述电子学习平台的使用与学生获得的分数之间可能的关系。最后给出了性能最好的NMEEF-SD算法的结果。最后,对该算法得到的最具代表性的结果进行分析,以获得知识,使教师能够采取行动提高学生的成绩。
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Subgroup discovery in an e-learning usage study based on Moodle
This paper presents an experimental study with several subgroup discovery algorithms using data from a web-based education system. The main objective of this contribution is to extract unusual subgroups to describe possible relationships between the use of the e-learning platform and marks obtained by the students. The results obtained by the best performing algorithm, NMEEF-SD, are also presented. Finally, the most representative results obtained by this algorithm are analised, in order to obtain knowledge that can allow teachers to take actions to improve student performance.
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