Paired pre/post AI readiness scores rose descriptively from 82.5% to 89.9% (mean gain 7.4 percentage points) among seven co-creation clients, treated as descriptive context only¶
Claim · All claims
Evidence · 1 study · designr2·q1
Currency · no dated study recorded · 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.
q1 i? In a small paired pre/post assessment (N=7) using a preliminary, unvalidated six-item instrument, scores increased from pre-session (M=82.5%, SD=15.5%) to post-session (M=89.9%, SD=17.5%), a mean gain of 7.4 percentage points; five of seven clients improved, one remained at ceiling, and one declined. → readiness-1
Evidence¶
readiness-1¶
Weihao Qu, Ling Zheng, Chris Buzaid, and Daniel Crawford. 2026. LearnAI: Just-in-Time AI Co-Creation Across Disciplines at a University. https://arxiv.org/abs/2608.19164 doi:10.48550/arxiv.2608.19164
q1 · i? · design · r2
Descriptive pre/post comparison in the Customized Co-Creation Layer using six scenario-based items scored 1–4 and summed to 24 points; seven clients provided usable paired responses. The article treats these results as "descriptive rather than inferential" because the paired sample is small and the instrument is preliminary and unvalidated. No effect size or significance test is reported.
"Scores increased from pre-session (𝑀= 82.5%,𝑆𝐷= 15.5%) to post-session (𝑀= 89.9%,𝑆𝐷= 17.5%), a mean gain of 7.4 percentage points. Five of seven clients improved, one remained at ceiling, and one declined."
Discussion¶
Related Claims¶
- Over two semesters the LearnAI deployment reached 18 courses (293 enrolled students) and 35 co-creation clients who produced 36 portfolio websites and over 20 deployed applications — related
- Faculty confidence in guiding student AI use rose markedly after the six-week institute, with high-confidence responses increasing from 0% to 60% — related
- Entering faculty were characterized by uncertainty rather than opposition: mean AI perception was 3.22 on a five-point scale and mean self-rated fluency was 1.89 on a six-point scale — related
- Participants' perceptions of AI in higher education shifted from 20% negative and 40% neutral pre-institute to 0% negative and 90% positive post-institute — related
- Students in the AI-integrated database course showed large, statistically significant pre/post gains on seven identical database assessment questions — related
- Diagram-comprehension scores were already high before the treatment and showed no significant pre-to-post increase — related
- Client interviews suggest a recurring shift from treating AI as a passive answer machine (\"Oracle\") to engaging it as a collaborative tool under human direction (\"Process Partner\") — related
- Retrospective pre/post confidence rose on all four course learning objectives with large rank-biserial effects (N=159) — related
Page metadata
| Field | Value |
|---|---|
type |
claim |
id |
paired-readiness-gain-descriptive-n7 |
title |
Paired pre/post AI readiness scores rose descriptively from 82.5% to 89.9% (mean gain 7.4 percentage points) among seven co-creation clients, treated as descriptive context only |
description |
Paired pre/post AI readiness scores rose descriptively from 82.5% to 89.9% (mean gain 7.4 percentage points) among seven co-creation clients, treated as descriptive context only |
status |
review |
evidence_strength |
weak |
generated |
by process:wiki-ingest on 2026-10-11 |
trust |
unverified — no one has confirmed this page's content |
sources |
1 — readiness-1 |
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