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A Research on Techniques for Data Fusion and Analysis of Cross-platform MOOC Data

Massive open online courses(MOOCs) tends to open up equal educational opportunities for people around the globe, with characters of great scale, zero threshold, any-time access and so on. It has exerted a profound influence on learning environments and changed people’s way of receiving education. In the promotion of MOOC practice, there still remain problems among which, the low course-completion rate is one of the biggest challenges. This paper presents AMMP, an alliance MOOC management platform which aggregates information, resources, services and people across a number of MOOC platforms. Its overarching goal as a whole is to design and develop methods for learning and teaching analytics to facilitate a personal learning environment. It focuses on the techniques for data fusion and analysis. Particularly, we figure out how to link multiple online identities of learners and data transmission; we also show a couple of examples of data mining. AMMP tends to exert a tremendous influence on researching students learning behavior and offering advice and suggestions to improve service quality.