Claims

GenARch use was associated with a positive relative pre–post change in the Team-Q conflict-management subscale

Claim · All claims
Evidence · 1 study · causal r2 · q2
Currency · newest study 2026 · 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 i? For TQ_D (Manages Potential Conflict), the DiD estimate was positive (β=0.479, p=0.014), indicating larger relative improvement for GenARch than Control. → Xiao 2026

Evidence

Xiao 2026

Xiao, Y., Chen, M., Li, Y., Powers, N., Wiesenfeld, M., Smith, G., Farzin, S., Liu, S. (2026). Generative AI and Extended Reality in Collaborative Architectural Design Education: An Exploratory Studio Study. arXiv preprint arXiv:2609.13494. https://arxiv.org/abs/2609.13494 doi:10.48550/arxiv.2609.13494

q2 · i? · causal · r2

DiD regression on Team-Q subscales in the same team-level quasi-experiment (GenARch N=16, Control N=11). The article reports a positive estimate for the conflict-management subscale; only the regression coefficient and p-value are printed, no effect size.

"For TQ_D (Manages Potential Conflict), the estimate was positive (β= 0.479,p= 0.014)."

Discussion

Learner Variables

Page metadata
Field Value
type claim
id genarch-positive-conflict-management-did
title GenARch use was associated with a positive relative pre–post change in the Team-Q conflict-management subscale
description GenARch use was associated with a positive relative pre–post change in the Team-Q conflict-management subscale
status review
evidence_strength weak
newest_evidence 2026
generated by process:wiki-ingest on 2026-10-10
trust unverified — no one has confirmed this page's content
sources 1 — xiao-2026

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