A Process Mining Approach to Linking the Study of Aptitude and Event Facets of Self-regulated Learning

Sanam Shirazi, Dragan Gasevic, Marek Hatala

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Research on self-regulated learning has taken main two paths: self-regulated learning as aptitudes and more recently, selfregulated learning as events. This paper proposes the use of the Fuzzy miner process mining technique to examine the relationship between students’ self-reported aptitudes (i.e., achievement goal orientation and approaches to learning) and strategies followed in self-regulated learning. A pilot study is conducted to probe the method and the preliminary results are reported.
Original languageEnglish
Title of host publicationProceedings of the 5th International Conference on Learning Analytics & Knowledge (LAK 2015)
Place of PublicationNew York, NY, USA
PublisherACM Press
Pages265-269
ISBN (Electronic)978-1-4503-3417-4
DOIs
Publication statusPublished - 18 Mar 2015

Keywords

  • self-regulated learning
  • clustering
  • learning patterns
  • process mining

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