Fabián Andrés Ancona Anacona, Mario Fernando Solarte Sarasty, Gustavo Ramirez González
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引用次数: 0
摘要
世界上不同的大学使用Open edX平台提供xMOOC课程，导致学生参与课程的增长，从而在与xMOOC交互时产生一套导航模式，记录在tracking.log文件中。到目前为止还没有研究识别EF-ISF导航模式的模式集，因此本文提出使用LexRank with Threshold算法来识别EF-ISF导航模式。
LexRank with threshold to identify EF-ISF navigation patterns in xMOOC of Open edX
The use of the Open edX platform to offer xMOOC courses by different Universities in the world, has led to a growth in the participation of students in the courses, thus generating a set of navigation patterns when interacting with the xMOOC which are recorded in the tracking.log file. So far there is no study that identifies EF-ISF navigation patterns of the set of patterns, for this reason in this document propose the use of the LexRank with Threshold algorithm for the identification of the EF-ISF navigation patterns.
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