Process mining methodology for MOOC event logs (adapted PM2)

Research Method · All research methods
Evidence · 1 claim (1 for) · 1 study (1 associational), q2 · 0 of 1 report an effect size · 1 claim rests on one study

Description

The study employs an adapted version of the Process Mining Methodology (PM2) with seven steps, from definition of objectives to evaluation of process models, using the Disco Fluxicon software tool with an adapted Fuzzy Minner algorithm. Process mining is described as "a family of techniques based on the areas of data science and process management that provide tools to support the analysis of operational processes based on event logs." The authors note it has advantages including real-time modelling of events, modelling without a base model, easy comparison of process models, and clear visualization of behaviour.

Accounts

• Process mining methodology (adapted PM2) applied to MOOC event logs for discovering procrastination patterns.: The study employs an adapted version of the Process Mining Methodology (PM2) with seven steps, from definition of objectives to evaluation of process models, using the Disco Fluxicon software tool with an adapted Fuzzy Minner algorithm. Process mining is described as "a family of techniques based on the areas of data science and process management that provide tools to support the analysis of operational processes based on event logs." The authors note it has advantages including real-time modelling of events, modelling without a base model, easy comparison of process models, and clear visualization of behaviour. (Vázquez Mendoza et al. (2024))

Claims

• Process mining of MOOC event logs reveals that users who fail or drop out exhibit distinct patterns of intra-session and extra-session procrastination compared to users who pass. [+M]

Related Research Methods

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Key Sources

• Vázquez Mendoza, J. A., Ferri Ramírez, C., & Monserrat Aranda, C. (2024). Analysis and discovery of procrastination patterns in a language learning MOOC. Computers & Education, 223, 105154. https://doi.org/10.1016/j.compedu.2024.105154

Page metadata

Field	Value
type	research-method
id	process-mining-methodology-for-mooc-event-logs-adapted-pm2
title	Process mining methodology for MOOC event logs (adapted PM2)
description	The study employs an adapted version of the Process Mining Methodology (PM2) with seven steps, from definition of objectives to evaluation of process models, using the Disco Fluxicon software tool with an adapted Fuzzy Minner algorithm.
status	review
generated	by process:settle-candidates on 2026-10-30
trust	unverified — no one has confirmed this page's content

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