文章基本信息

标题：An Examination of Online Learning Effectiveness Using Data Mining
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作者：Nurbiha A. Shukor ; Nurbiha A. Shukor ; Zaidatun Tasir 等
期刊名称：Procedia - Social and Behavioral Sciences
印刷版ISSN：1877-0428
出版年度：2015
卷号：172
页码：555-562
DOI：10.1016/j.sbspro.2015.01.402
语种：English
出版社：Elsevier
摘要：AbstractOnline learning has become increasingly popular due to technology advancement that allows discussion to occur at distance. Most studies report on students’ learning achievement as a result of effective online learning while assessment on the learning process is also necessary. It is possible by applying data mining technique where students’ online learning experiences can be assessed based on their log files. This study found that students could also perform well by being a silent learner during online learning. However, students have to spend more effort to be a successful silent learner as suggested by the produced predictive model.
关键词：Online learning;collaborative learning;data mining;learning perfomances;predictive model