Coordination actions discriminate well-functioning groups better than inactivity: a CART decision tree splits clusters on coordination counts (value 3.5), revising the assumption that gaps are the key failure indicator¶
Claim · All claims
Evidence · 1 study · associationalr1·q2
Currency · newest study 2021 · not yet checked against its sources · not reviewed by a person
Subclaims¶
Reading the evidence codes
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This claim: no standardized effect is recorded in observations/ for it yet, so no benchmark reading is possible.
q2 i? In Study 1, the number of coordination actions was the best discriminator between sequence-analysis clusters, separating out more than 90% of cluster 1 at a split value of 3.5. → H. Ulrich Hoppe 2021
q2 i? The authors conclude that coordination actions, typically occurring in the first half of the working period, can to some extent counter-balance the likely negative effects of inactivity. → H. Ulrich Hoppe 2021
Evidence¶
H. Ulrich Hoppe 2021¶
H. Ulrich Hoppe, et al. (2021). Using Sequence Analysis to Determine the Well-Functioning of Small Groups in Large Online Courses. International Journal of Artificial Intelligence in Education. https://doi.org/10.1007/s40593-020-00229-9
q2 · i? · associational · r1
Regression-based CART analysis (in R) on Study 1 action counts (gaps and coordination) predicting cluster membership for the 65 groups. The article reports the split value 3.5 and that the tree "separates out more than 90% of cluster 1"; no effect size is printed.
"Based on the principle of maximizing information gain in every split, we can conclude that the number of coordination actions with the separating value of 3.5 is the best discriminator and already separates out more than 90% of cluster 1 with relatively small mix-ins from the other clusters."
Discussion¶
Related Claims¶
- Sequence-alignment clusters of small-group action logs differ in productivity and balance of contribution, with the largest cluster showing the lowest word count and highest imbalance — related
- Unsupervised time-series clustering identifies low performers more accurately than SVM or decision-tree classifiers trained on two temporal statistics — related
Page metadata
| Field | Value |
|---|---|
type |
claim |
id |
coordination-actions-better-indicator-than-inactivity |
title |
Coordination actions discriminate well-functioning groups better than inactivity: a CART decision tree splits clusters on coordination counts (value 3.5), revising the assumption that gaps are the key failure indicator |
description |
Coordination actions discriminate well-functioning groups better than inactivity: a CART decision tree splits clusters on coordination counts (value 3.5), revising the assumption that gaps are the key failure indicator |
status |
review |
evidence_strength |
moderate |
newest_evidence |
2021 |
generated |
by process:wiki-ingest on 2026-10-27 |
trust |
unverified — no one has confirmed this page's content |
sources |
1 — h-ulrich-hoppe-2021 |
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