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In this paper, the machine learning algorithm is applied for predicting the dropout rate of students from MOOC. This studies the execution mechanism of MOOC and the conventional system. However, it is difficult to conduct a comparison examination of state-of-the-art machine learning architectures because of differences in issue definitions and assessment criteria between MOOC and the conventional systems.