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

  • Fabián Andrés Ancona Anacona estudiante
  • Mario Fernando Solarte Sarasty
  • Gustavo Adolfo Ramírez González
Keywords: LexRank with Threshold, navigation, EF-ISF navigation pattern, tracking.log, xMOOC.

Abstract

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.

Published
2020-07-14
How to Cite
Ancona Anacona, F. A., Solarte Sarasty, M. F., & Ramírez González, G. A. (2020). LexRank with threshold to identify EF-ISF navigation patterns in xMOOC of Open edX. Revista Ingenierías Universidad De Medellín, 20(38). Retrieved from https://revistas.udem.edu.co/index.php/ingenierias/article/view/2975

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