Diagramming scaffold also improves absolute metacomprehension accuracy for causal relations, extending the effect beyond relative accuracy¶
Claim · All claims
Evidence · 1 study · causalr2·q3
Currency · newest study 2023 · checked against its sources 2026-10-23 (automated, 1 of 1 entry) · 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.
q3 i? Both diagramming conditions led to significantly higher absolute metacomprehension accuracy for causal relations than control, but did not differ from each other. → Pijeira-Díaz 2023
Evidence¶
Pijeira-Díaz 2023¶
Pijeira-Díaz, H. J., van de Pol, J., Channa, F., & de Bruin, A. (2023). Scaffolding self-regulated learning from causal-relations texts: Diagramming and self-assessment to improve metacomprehension accuracy? Metacognition and Learning, 18, 631–658. https://doi.org/10.1007/s11409-023-09343-0
q3 · i? · causal · r2
Multilevel analysis of absolute metacomprehension accuracy (judgment and student levels) in the randomized experiment; "both diagramming conditions led to significantly higher accuracy" than control for relations, with no difference between diagramming conditions.
"For causal relations, both diagramming conditions led to significantly higher accuracy (two-tailed p < .030) than the control condition, but the two diagramming conditions did not differ (two-tailed p = .554)."
Discussion¶
Related Claims¶
- Adding diagram self-assessment to diagram completion does not increase diagnostic cue utilization or metacomprehension accuracy beyond diagramming alone — possibly the same claim (merge candidate)
- Pre-structured diagrams improved metacomprehension accuracy while self-assessment cues showed no differences — possibly the same claim (merge candidate)
- Diagramming conditions show no significant differences from control in regulation measures or reading comprehension test scores for causal relations — related
- Drawing after learning, both from scratch and with spatial scaffolds, improves absolute monitoring accuracy (calibration) compared with a time-matched mental reactivation control condition — related
- Diagramming scaffold improves relative metacomprehension accuracy for causal relations in expository texts — related
- Self-assessments of diagram boxes are more accurate than comprehension judgments and strongly correlated with them in the diagramming paradigm — related
- Situation-model-approach interventions produce a medium positive average effect (g = 0.46) on relative metacomprehension accuracy — related
- Generative and visualizing tasks improve metacomprehension and monitoring accuracy but show small or null effects on learning outcomes — a broader claim this one bears on
- Multi-agent scaffolding showed no significant difference from the structured control in binary diagnostic accuracy or worksheet completion — related
- Little or no relation between absolute and relative accuracy in metacomprehension research — related
- Delayed diagram completion improves students' relative monitoring accuracy of text comprehension compared with no diagramming — related
- Receiving two model answer diagrams improves secondary students' delayed-diagramming text comprehension relative to no model answers — related
- In-between explaining did not improve metacomprehension accuracy relative to other conditions in either experiment — related
Page metadata
| Field | Value |
|---|---|
type |
claim |
id |
diagramming-improves-absolute-metacomprehension-accuracy |
title |
Diagramming scaffold also improves absolute metacomprehension accuracy for causal relations, extending the effect beyond relative accuracy |
description |
Diagramming scaffold also improves absolute metacomprehension accuracy for causal relations, extending the effect beyond relative accuracy |
status |
review |
evidence_strength |
moderate |
newest_evidence |
2023 |
source_checked |
2026-10-23 |
generated |
by process:wiki-ingest on 2026-10-19 |
trust |
unverified — no one has confirmed this page's content |
sources |
1 — pijeira-díaz-2023 |
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