Consensus reaching and task division together predict learning gains across conditions¶
Claim · All claims
Evidence · 1 study · causalr?·q3
Currency · newest study 2020 · 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.
q3 i? The collaborative-process variables consensus reaching and task division significantly predicted gain score (R2 = 0.109); H2-1 supported. → Hayashi 2020
Evidence¶
Hayashi 2020¶
Hayashi, Y. (2020). Gaze awareness and metacognitive suggestions by a pedagogical conversational agent: an experimental investigation on interventions to support collaborative learning process and performance. International Journal of Computer-Supported Collaborative Learning. https://doi.org/10.1007/s11412-020-09333-3
q3 · i? · causal · r?
A multiple regression on gain scores with consensus reaching and task division as predictors was statistically significant; the article notes R2 (a variance-explained figure with no standardized effect size).
"The regression coefficient R2 was 0.109 and the ANOVA F-value was 4.720, indicating statistical significance ( p = 0.012.)."
Discussion¶
Related Claims¶
- Gaze feedback and PCA suggestions show no interaction effect on the collaborative process ratings — related
- Gaze feedback and PCA suggestions interact on proportional learning gains, with synergy favoring the visible-gaze/visible-agent condition — related
- PCA metacognitive suggestions improve consensus reaching, task division and reciprocal interaction during collaboration — related
- A successful coordination/high learning-gain correlation appears only for learners receiving both visible gaze feedback and PCA suggestions — related
Page metadata
| Field | Value |
|---|---|
type |
claim |
id |
process-codes-predict-learning-gains |
title |
Consensus reaching and task division together predict learning gains across conditions |
description |
Consensus reaching and task division together predict learning gains across conditions |
status |
review |
evidence_strength |
moderate |
newest_evidence |
2020 |
generated |
by process:wiki-ingest on 2026-10-18 |
trust |
unverified — no one has confirmed this page's content |
sources |
1 — hayashi-2020 |
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