An examination of online learning effectiveness using data mining

Abstract

Online 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.