Full-PC dyads wrote lab reports with significantly better structure and more complete content than empty-PC dyads¶
Claim · All claims
Evidence · 1 study (2 entries) · causalr2·q2·i3large
Currency · newest study 2007 · 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 i3 Report structure scores were significantly higher in the PC+ condition (d=1.49). → Sarah Manlove 2007
q2 i3 Report content scores were also significantly higher for PC+ dyads (d=1.74). → Sarah Manlove 2007 (2)
Evidence¶
Sarah Manlove 2007¶
Sarah Manlove, Ard W. Lazonder & Ton de Jong. (2007). Software scaffolds to promote regulation during scientific inquiry learning. Metacognition Learning. https://doi.org/10.1007/s11409-007-9012-y
q2 · i3 · causal · r2
Two-way ANOVA on completed lab reports of mixed-ability dyads; structure scored by presence of template sections (maximum 5), d=1.49. Achievement level had no effect (F(1,22)=0.29, p=0.60) and the interaction was not significant (F(1,22)=1.47, p=.24).
"report structure scores were significantly higher in the PC+ condition ( F(1,22)=9.57, p<0.01, d=1.49), indicating that PC+ dyads produced better structured reports."
Sarah Manlove 2007 (2)¶
Sarah Manlove, Ard W. Lazonder & Ton de Jong. (2007). Software scaffolds to promote regulation during scientific inquiry learning. Metacognition Learning. https://doi.org/10.1007/s11409-007-9012-y
q2 · i3 · causal · r2
Report content scored by number of the template's 11 evaluation topics addressed (maximum 11); two-way ANOVA found d=1.74, with no significant achievement main effect (F(1,22)=.05, p=.83) or interaction (F(1,22)=.01, p=.92).
"PC+ dyads also gave a more complete account of their inquiry activities and outcomes, as evidenced by higher report content scores. This difference too was statistically significant ( F(1,24)=22.66, p<.01, d=1.74)."
Discussion¶
Related Claims¶
- Empty-PC dyads built significantly better domain models than full-PC dyads, an effect concentrated among lower-achieving dyads — related
- Dyads given the full Process Coordinator used the regulative tool about three times as long and twice as often as dyads with the empty version — related
- Higher model quality was associated with less goal viewing and note taking, while lab report scores correlated positively with regulative tool use and negatively with helpfile viewing — related
Page metadata
| Field | Value |
|---|---|
type |
claim |
id |
full-pc-better-lab-reports |
title |
Full-PC dyads wrote lab reports with significantly better structure and more complete content than empty-PC dyads |
description |
Full-PC dyads wrote lab reports with significantly better structure and more complete content than empty-PC dyads |
status |
review |
evidence_strength |
moderate |
newest_evidence |
2007 |
generated |
by process:wiki-ingest on 2026-10-19 |
trust |
unverified — no one has confirmed this page's content |
sources |
2 — sarah-manlove-2007, sarah-manlove-2007-2 |
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