Claims

PCA metacognitive suggestions improve consensus reaching, task division and reciprocal interaction during collaboration

Claim · All claims
Evidence · 1 study · causal r2 · q3 · i2 medium
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 i2 Visible PCA suggestions raised consensus reaching (η2p = 0.1289). → Hayashi 2020 q3 i1 PCA suggestions raised reciprocal interaction (η2p = 0.0586). → 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 · i2 · causal · r2

In the same 2×2 ANOVA of coded collaboration ratings, the PCA factor showed a significant main effect on consensus reaching, "F (1,76) = 11.244, p = 0.0012", with η2p = 0.1289; reciprocal interaction also showed a PCA main effect.

"Thus, the learners tended to reach consensus when they used the visible gaze (F (1,76) = 29.277, p = 0.0000,η2p = 0.2781) and the PCA (F (1,76) = 11.244, p = 0.0012, η2p = 0.1289)."

Discussion

Page metadata
Field Value
type claim
id pca-suggestions-improve-consensus-and-task-division
title PCA metacognitive suggestions improve consensus reaching, task division and reciprocal interaction during collaboration
description PCA metacognitive suggestions improve consensus reaching, task division and reciprocal interaction during collaboration
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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