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

Authors

  • Fabián Andrés Ancona Anacona estudiante
  • Mario Fernando Solarte Sarasty
  • Gustavo Adolfo Ramírez González

DOI:

https://doi.org/10.22395/rium.v20n39a5

Keywords:

LexRank with Threshold, navigation, EF-ISF navigation pattern, tracking.log, xMOOC

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.

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Published

2021-06-28

How to Cite

Ancona Anacona, F. A., Solarte Sarasty, M. F., & Ramírez González, G. A. (2021). LexRank with threshold to identify EF-ISF navigation patterns in xMOOC of Open edX. Revista Ingenierías Universidad De Medellín, 20(39), 85–96. https://doi.org/10.22395/rium.v20n39a5

Issue

Vol. 20 No. 39 (2021): July-December

Section

Articles

License

The total or partial reproduction of the contents of the journal for educational, research, or academic purposes is authorized as long as the source is cited. For reproduction for other purposes, express authorization from the Sello Editorial Universidad de Medellín is required.

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