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.¶
Claim · All claims
Evidence · 1 study (2 entries) · associationalr1–r2·q2
Currency · newest study 2024 · not yet checked against its sources · not reviewed by a person
Subclaims¶
Reading the evidence codes
q is the design tier, i the impact, n the sample, and the kind with its r
the rigour judged within that kind: what each code means.
This claim: no standardized effect is recorded in observations/ for it yet, so no benchmark reading is possible.
q2 i? Intra-session procrastination patterns are closely linked to users' course outcomes, with successful users showing fewer instances of it than unsuccessful ones. → Vázquez Mendoza 2024
q2 i? Extra-session procrastination, particularly ordinary procrastination (48h to 10 weeks of inactivity), shows distribution differences between users who pass and those who fail or withdraw. → Vázquez Mendoza 2024 (2)
Evidence¶
Vázquez Mendoza 2024¶
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
q2 · i? · associational · r1
Analysis of process mining graphs (Fig. 7) from the 'Basic Spanish 1' MOOC event logs. The authors state that "users who successfully pass the course show fewer instances of intra-session procrastination than their unsuccessful counterparts."
"We have also observed that intra-session procrastination patterns (Fig. 7) are closely linked to users' course outcomes, whether they pass or fail. The results show a notable disparity: users who successfully pass the course show fewer instances of intra-session procrastination than their unsuccessful counterparts."
Vázquez Mendoza 2024 (2)¶
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
q2 · i? · associational · r2
Analysis of distribution functions for extra-session procrastination (Figs. 9 and 10) for verified users. The authors note "there are differences that are important in the case of the verified users to succeed in the course, especially when we look at ordinary extra-session procrastination."
"The analysis of the distribution of course users' extra-session procrastination (Figs. 9 and 10) shows that there are differences that are important in the case of the verified users to succeed in the course, especially when we look at ordinary extra-session procrastination."
Discussion¶
Related Claims¶
- Users who stay and finish the MOOC utilize the course material better than those who do not, suggesting interest in learning from the material is a contributing factor for completion. — related
- Users who fail a MOOC tend to combine evaluation tasks with consultation of support materials, suggesting they attempt to answer activities without having absorbed the essential knowledge. — related
- Learners from different performance groups differ in priorities of learning tactic usage across learning sessions — related
Page metadata
| Field | Value |
|---|---|
type |
claim |
id |
process-mining-reveals-procrastination-patterns-linked-to-mooc-failure |
title |
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. |
description |
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. |
status |
review |
evidence_strength |
moderate |
newest_evidence |
2024 |
generated |
by process:wiki-ingest on 2026-10-30 |
trust |
unverified — no one has confirmed this page's content |
sources |
2 — vázquez-mendoza-2024, vázquez-mendoza-2024-2 |
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