Discovering students’ learning strategies in a visual programming MOOC through process mining techniques

Narjes Rohani*, Kobi Gal, Michael Gallagher, Areti Manataki

*Corresponding author for this work

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

Abstract / Description of output

Understanding students’ learning patterns is key for supporting their learning experience and improving course design. However, this is particularly challenging in courses with large cohorts, which might contain diverse students that exhibit a wide range of behaviours. In this study, we employed a previously developed method, which considers process flow, sequence, and frequency of learning actions, for detecting students’ learning tactics and strategies. With the aim of demonstrating its applicability to a new learning context, we applied the method to a large-scale online visual programming course. Four low-level learning tactics were identified, ranging from project- and video-focused to explorative. Our results also indicate that some students employed all four tactics, some used course assessments to strategize about how to study, while others selected only two or three of all learning tactics. This research demonstrates the applicability and usefulness of process mining for discovering meaningful and distinguishable learning strategies in large courses with thousands of learners.

Original languageEnglish
Title of host publicationProcess Mining Workshops - ICPM 2022 International Workshops, Revised Selected Papers
EditorsMarco Montali, Arik Senderovich, Matthias Weidlich
PublisherSpringer Science and Business Media Deutschland GmbH
Pages539-551
Number of pages13
ISBN (Print)9783031278143
DOIs
Publication statusPublished - 2023
EventInternational Workshops on EDBA, ML4PM, RPM, PODS4H, SA4PM, PQMI, EduPM, and DQT-PM, held at the International Conference on Process Mining, ICPM 2022 - Bozen-Bolzano, Italy
Duration: 23 Oct 202228 Oct 2022

Publication series

NameLecture Notes in Business Information Processing
Volume468 LNBIP
ISSN (Print)1865-1348
ISSN (Electronic)1865-1356

Conference

ConferenceInternational Workshops on EDBA, ML4PM, RPM, PODS4H, SA4PM, PQMI, EduPM, and DQT-PM, held at the International Conference on Process Mining, ICPM 2022
Country/TerritoryItaly
CityBozen-Bolzano
Period23/10/2228/10/22

Keywords / Materials (for Non-textual outputs)

  • educational data mining
  • learning strategy
  • learning tactic
  • massive open online courses
  • process mining
  • visual programming

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