Three learning profiles emerge among university students: organized-deep, unorganized-deep, and dissonant¶
Claim · All claims
Evidence · 1 study · associationalr2·q2
Currency · newest study 2023 · not yet checked against its sources · not reviewed by a person
Subclaims¶
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q2 i? K-means cluster analysis of approaches to learning identified three profiles: organized students applying a deep approach (n = 230), unorganized students applying a deep approach (n = 113), and a dissonant profile scoring high on all approaches (n = 119). → Tuononen 2023
Evidence¶
Tuononen 2023¶
Tuononen, T., Hyytinen, H., Räisänen, M., Hailikari, T., & Parpala, A. (2023). Metacognitive awareness in relation to university students' learning profiles. Metacognition and Learning, 18, 37–54. https://doi.org/10.1007/s11409-022-09314-x
q2 · i? · associational · r2
K-means cluster analysis on the three approaches-to-learning scales in the survey of 462 students. Table 3 prints cluster sizes of 230, 113 and 119; the third, the Dissonant profile, "comprised students who scored high on all approaches".
"The first, Organized students applying a deep approach, included students who scored the highest on the deep approach and organized studying and lowest on the unreflective approach. The second profile, Unorganized students applying a deep approach, included students who scored high on deep approach but the lowest on organized studying."
Discussion¶
Related Claims¶
- The dissonant profile scores lowest of all profiles on knowledge about cognition, but does not differ from the unorganized-deep profile on regulation of cognition — related
- Both metacognitive awareness dimensions correlate positively with deep approach and organized studying and negatively with an unreflective approach — related
- Exploratory K-means clustering identifies four heterogeneous student AI-user profiles differing in experience, competence, usefulness, trust, and control, but the solution's optimality and stability are not established — related
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- Four distinct session-level engagement types emerge in GenAI Tutor use: Deep, Shallow, Routine-Learning, and Exam-Driven — related
- K-means clustering of K–8 students' platform trace data yields seven distinct engagement profiles — related
- Two distinct group deliberation patterns emerge in response to regulation triggers: the Plan and Implementation Approach (PIA) and the Trials and Failure Approach (TFA) — related
- Among 32 dyads in an open-ended collaborative tabletop task, three behavioral clusters split into two learning (gainer) profiles and one non-learning profile despite similar task performance — related
- Three distinct learner profiles emerge from function art activities: Repetitivists, Simplists, and Multifunctionists — related
- Dissonant combinations of regulation and processing strategies impair performance, and dissonance produces affective strain — related
- Interest profiles combine homogeneous and heterogeneous patterns across the six dimensions — related
Page metadata
| Field | Value |
|---|---|
type |
claim |
id |
three-learning-profiles-kmeans |
title |
Three learning profiles emerge among university students: organized-deep, unorganized-deep, and dissonant |
description |
Three learning profiles emerge among university students: organized-deep, unorganized-deep, and dissonant |
status |
review |
evidence_strength |
moderate |
newest_evidence |
2023 |
generated |
by process:wiki-ingest on 2026-10-18 |
trust |
unverified — no one has confirmed this page's content |
sources |
1 — tuononen-2023 |
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