Clustering of association rules yields four distinct strategy-combination profiles characterizing lower digital distraction¶
Claim · All claims
Evidence · 1 study · associationalr2·q2
Currency · newest study 2025 · not yet checked against its sources · not reviewed by a person
Subclaims¶
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q2 i? PAM clustering classified the 42 two-antecedent rules into four clusters: structured environment and instructor interaction, learner-content engagement focus, reduced peer reliance, and disciplined time management. → Shi 2025
Evidence¶
Shi 2025¶
Shi, H., Bi, R., Lin, X., & Dai, Y. (2025). Decreasing Digital Distraction in College Students: Associated Online Learning Strategies Identified by Unsupervised Data Mining Approaches. https://doi.org/10.17605/OSF.IO/P85S3
q2 · i? · associational · r2
Partitioning-around-medoids clustering of the 42 ARM rules (not of participants), with cluster number chosen via Elbow Method and Silhouette scores. Cluster sizes were 12, 10, 13, and 7 rules; all clusters underscored SRL strategies combined with engagement behaviors and competencies.
"The PAM cluster analysis classified the 42 identified rules from Step 2 into four clusters, each representing distinctive patterns of learning strategy combinations associated with lower distraction (see Figure 2)."
Discussion¶
Related Claims¶
- Demographic characteristics (gender, age, race, major) showed no significant association with lower digital distraction in the rule-mining profiles — related
- In association-rule mining of survey data from 530 college students in online courses, goal setting, environment structuring and time management were the strategies most often associated with lower digital distraction — related
- Peer-related help-seeking and learner-learner engagement strategies appear less often in profiles of students with lower digital distraction — related
- Learner-instructor and learner-content engagement strategies are negatively associated with digital distraction in online courses — related
- Technical confidence using digital learning tools is positively associated with lower distraction levels among online learners — related
- The four profiles differ in academic self-efficacy, time/study management, and effort regulation, with HL highest, but not in help seeking — related
Page metadata
| Field | Value |
|---|---|
type |
claim |
id |
four-clusters-lower-distraction-strategy-profiles |
title |
Clustering of association rules yields four distinct strategy-combination profiles characterizing lower digital distraction |
description |
Clustering of association rules yields four distinct strategy-combination profiles characterizing lower digital distraction |
status |
review |
evidence_strength |
weak |
newest_evidence |
2025 |
generated |
by process:wiki-ingest on 2026-10-10 |
trust |
unverified — no one has confirmed this page's content |
sources |
1 — shi-2025 |
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