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

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 intera...

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Detalles Bibliográficos
Autores: Maldonado Mahauad, Jorge Javier, Bermeo Conto, Jorge Luis, Palta, R, Perez-Sanagustin, M, Vazquez, J
Tipo de recurso: artículo
Estado:Versión publicada
Fecha de publicación:2016
País:Ecuador
Institución:Universidad de Cuenca
Repositorio:Repositorio Universidad de Cuenca
OAI Identifier:oai:dspace.ucuenca.edu.ec:123456789/28997
Acceso en línea:https://www.scopus.com/inward/record.uri?eid=2-s2.0-85013956042&doi=10.1109%2fCLEI.2016.7833356&partnerID=40&md5=0438e1bae41f04c09be9deb3670cf92d
http://dspace.ucuenca.edu.ec/handle/123456789/28997
Access Level:acceso abierto
Palabra clave:Learning Styles
Moocs
Process Mining
Self Regulation
Descripción
Sumario: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.