期刊名称：International Journal of Emerging Technologies in Learning (iJET)
印刷版ISSN：1863-0383
出版年度：2018
卷号：13
期号：10
页码：108-120
语种：English
出版社：Kassel University Press
摘要：This paper aims to predict the user dropout rate in MOOC learning based on the features extracted from user learning behaviours. For this purpose, some learning behaviour features were extracted from the data of MOOC platforms. Then two machine learning algorithms, respectively based on support vector machine (SVM) and the artificial neural network (ANN), were introduced to predict the dropout rate of MOOC course. The two algorithms were contrasted with some commonly used prediction methods. The comparison results show that our algo-rithms outperformed others in the prediction of MOOC user dropout rate. The re-search sheds new light on the feature extraction and learning effect of MOOC programs.
关键词：massive open online course (MOOC);Feature extraction;Machine learning;Learning behaviour analysis
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