Shengjun Yin
ABSTRACT
The MOOC is a new kind of online-education model. It attracts widespread attention with its innovative curriculum, blowout growing on registered users in short term, and potential business value. However, its operation faces many challenges. One of the most obvious ones is that the completion rate of learners is generally not high. On average, less than 10% of the students are able to complete assignments. The serious loss of students has restricted the development of MOOC. This paper takes the courses offered by the MOOC platforms of Chinese universities as an example to investigate the situation of students' completion of courses and the loss of students. The influence factors are analyzed by machine learning method. Meanwhile, suggestions for improvement are put forward from the perspective of learners and curriculum managements.
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Index Terms
- The analysis and early warning of student loss in MOOC course
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