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LeMo is the prototype of an application for learning analytics, which collects data about learners' activities from different learning platforms. The article describes design principles of LeMo and their implications for efficient learning analytics. Focus is on the LeMo system architecture, user path analysis by algorithms of sequential pattern mining, and visualization of learners' activities.
After analyzing the insufficiency which existed in current most of long-distance education Websites, this paper introduces Data Mining technology, which is widely used in the field of the electronic commerce and so on, into the long-distance education system. Considering the difference between the long-distance education system and electronic commerce, this paper proposes a kind of system model based...
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