A process mining approach to linking the study of aptitude and event facets of self-regulated learning

Sanam Shirazi Beheshitha, Dragan Gašević, Marek Hatala

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

17 Citations (Scopus)

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 publicationLAK 2015
Subtitle of host publicationFifth International Conference on Learning Analytics and Knowledge 21—20 March 2015, Poughkeepsie, NY, USA
EditorsPaulo Blikstein, Agathe Merceron, George Siemens
Place of PublicationNew York NY USA
PublisherAssociation for Computing Machinery (ACM)
Pages265-269
Number of pages5
ISBN (Electronic)9781450334174
DOIs
Publication statusPublished - 16 Mar 2015
Externally publishedYes
EventInternational Learning Analytics & Knowledge Conference 2015: Scaling Up: Big Data to Big Impact - Marist College, Poughkeepsie, United States of America
Duration: 16 Mar 201520 Mar 2015
Conference number: 5th
https://web.archive.org/web/20150328092339/http://lak15.solaresearch.org/home

Conference

ConferenceInternational Learning Analytics & Knowledge Conference 2015
Abbreviated titleLAK 2015
CountryUnited States of America
CityPoughkeepsie
Period16/03/1520/03/15
Internet address

Keywords

  • Clustering
  • Learning Patterns
  • Process Mining
  • Self-Regulated Learning

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