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Download full textYe, Cheng; Biswas, Gautam – Journal of Learning Analytics, 2014
Our project is motivated by the early dropout and low completion rate problem in MOOCs. We have extended traditional features for MOOC analysis with richer and higher granularity information to make more accurate predictions of dropout and performance. The results show that finer-grained temporal information increases the predictive power in the…
Descriptors: Large Group Instruction, Online Courses, Educational Technology, Technology Uses in Education
