LexRank with threshold to identify EF-ISF navigation patterns in xMOOC of Open edX

Abstract

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.