Learning Analysis of Learners Based on edX Open Data
Pin Wang
Abstract
Pin Wang
Abstract
Big data from MOOC can be used for learning analysis in education. Based on the first MOOC open dataset released by ed X, this paper conducts a study of MOOC learners from three aspects of learner types, learner characteristics and learning behavior by the means of data statistics and analysis in order to manifest the actual situation of MOOC learning activity from multiple perspectives. On the basis of data analysis and study, the paper gives further reviews and reflections on the current state and characteristics, main phenomena in MOOC learning behaviors and application of MOOC data analysis of Chinese MOOC learners.
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Big data from MOOC can be used for learning analysis in education. Based on the first MOOC open dataset released by ed X, this paper conducts a study of MOOC learners from three aspects of learner types, learner characteristics and learning behavior by the means of data statistics and analysis in order to manifest the actual situation of MOOC learning activity from multiple perspectives. On the basis of data analysis and study, the paper gives further reviews and reflections on the current state and characteristics, main phenomena in MOOC learning behaviors and application of MOOC data analysis of Chinese MOOC learners.
Key concepts: Computer science, Massive open online course, Big data, Order (exchange), Mathematics education, Multimedia, Data science, World Wide Web