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Exploring differences in how learners navigate in MOOCs based on self-regulated learning and learning styles: A process mining approach

  • Jorge J. Maldonado
  • , Rene Palta
  • , Jorge Vazquez
  • , Jorge L. Bermeo
  • , Mar Perez-Sanagustin
  • , Jorge Munoz-Gama

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

28 Scopus citations

Abstract

Study in a Massive Open and Online Courses (MOOCs) is challenging, since participants take the course without the support of a teacher. Taking a MOOC require the students to have the ability to self-regulate their learning. However, every person has its own learning style and the way each one interacts and self-regulate in a MOOC varies. In this work we present an exploratory study from a process-oriented perspective to study whether students with different learning styles and SRL profiles show differences in navigating through a MOOC. Specifically, we investigate using Process Mining Techniques to analyze log files recording the course behavior of 99 learners across an Open edX MOOC combined with data from self-reported surveys. Our findings show that learners with different SRL profiles follow similar navigation paths, but there are differences when differentiating students by their learning styles.

Original languageEnglish
Title of host publicationProceedings of the 2016 42nd Latin American Computing Conference, CLEI 2016
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781509016334
DOIs
StatePublished - 25 Jan 2017
Event42nd Latin American Computing Conference, CLEI 2016 - Valparaiso, Chile
Duration: 10 Oct 201614 Oct 2016

Publication series

NameProceedings of the 2016 42nd Latin American Computing Conference, CLEI 2016

Conference

Conference42nd Latin American Computing Conference, CLEI 2016
Country/TerritoryChile
CityValparaiso
Period10/10/1614/10/16

Keywords

  • learning styles
  • MOOCs
  • process mining
  • self regulation

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