A Big Data Framework for Early Identification of Dropout Students in MOOC
作者： Jeff K. T. Tang , Haoran Xie , Tak-Lam Wong
DOI: 10.1007/978-3-662-48978-9_12
关键词:
摘要: Massive Open Online Courses (MOOC) became popular and they posted great impact to education. Students could enroll attend any MOOC anytime anywhere according their interest, schedule learning pace. However, the dropout rate of was known be very high in practice. It is desirable discover students who have chance early stage, course leader impose intervention immediately order reduce rate. In this paper, we proposed a framework that applies big data methods identify are likely MOOC. Real-world were collected for evaluation our framework. The results demonstrated effective helpful.
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