GAI-assisted DST creation produced significantly better team creativity performance than traditional methods, particularly in novelty and user experience¶
Claim · All claims
Evidence · 1 study · causalr2·q3·i3large
Currency · newest study 2025 · 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 i3 The experimental group scored significantly higher on general TCP (F = 64.51, p < 0.001, partial η² = 0.86) and on all four TCP dimensions, with the largest effects in user experience (η² = 0.78) and novelty (η² = 0.68). → Wei 2025
Evidence¶
Wei 2025¶
Wei, X., Wang, L., Lee, L.-K., & Liu, R. (2025). The effects of generative AI on collaborative problem-solving and team creativity performance in digital story creation: an experimental study. International Journal of Educational Technology in Higher Education, 22:23. https://doi.org/10.1186/s41239-025-00526-0
q3 · i3 · causal · r2
One-way ANOVA on expert-rated TCP scores (three experts, ICC = 0.89) comparing six GAI-assisted vs six traditional DST products. The article reports significant differences on all dimensions, with partial η² of 0.68 (novelty), 0.51 (relevance), 0.78 (user experience), 0.45 (sustainability), and 0.86 (general TCP).
"there was a significant difference between the general TCP of the students in the two groups (F = 64.51, p < 0.001), including the novelty (F = 16.68, p < 0.01), relevance (F = 8.26, p < 0.05), user experience (F = 28.58, p < 0.001), and sustainability (F = 6.65, p < 0.05)"
Discussion¶
Related Claims¶
- GAI-assisted DST creation produced significantly higher collaborative problem-solving skills than traditional methods among university students — related
- GAI-assisted DST creation significantly enhanced all five CPS sub-dimensions compared to traditional methods — related
- Interviews revealed six themes: enhanced efficiency, improved quality, facilitated reflection, increased interaction, improved collaboration, and concerns about over-reliance — related
- Structured prompting raises perceived interaction clarity and dependability but reduces perceived novelty of AI-supported learning — related
- Creative Inquiry course produced a significant increase in participants' creative self-efficacy — related
- GenAI-assisted education produces significantly higher higher-order thinking abilities than non-GenAI approaches (g = 0.72) — a broader claim this one bears on
- University students held positive attitudes toward GAI in DST creation but expressed moderate concern about over-reliance and low concern about reduced social interaction — related
- Adult learners view AI as a collaborative learning agent for solving complex problems, sharing knowledge, and honing higher-order thinking — related
Page metadata
| Field | Value |
|---|---|
type |
claim |
id |
gai-assisted-dst-improves-team-creativity |
title |
GAI-assisted DST creation produced significantly better team creativity performance than traditional methods, particularly in novelty and user experience |
description |
GAI-assisted DST creation produced significantly better team creativity performance than traditional methods, particularly in novelty and user experience |
status |
review |
evidence_strength |
moderate |
newest_evidence |
2025 |
generated |
by process:wiki-ingest on 2026-10-15 |
trust |
unverified — no one has confirmed this page's content |
sources |
1 — wei-2025 |
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