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 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.
2016 XLII Latin American Computing Conference (CLEI)