Evidence map›Paper›PMID 42908914›Full record

ArticleFrontiers in psychology2026

Psychological associations between perceived generative AI-supported learning and creative design performance in vocational design education: a within-course correlational study.

Xiaoping Xu, Chenhui Wang, Shuangyan Fu, Jiawei Tong, Dian Jin

Abstract read
In one paragraph

Article in Frontiers in psychology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Xiaoping XuDesign College, Jinhua University of Vocational Technology, Jinhua, China.
Chenhui WangCollege of Design and Innovation, Zhejiang Normal University, Jinhua, China.
Shuangyan FuPsychological Counseling Center, Jinhua University of Vocational Technology, Jinhua, China.
Jiawei TongCollege of Education, Wenzhou-Kean University, Wenzhou, China.
Dian JinDesign College, Jinhua University of Vocational Technology, Jinhua, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Generative artificial intelligence (GenAI) is increasingly used in design courses, but evidence remains limited on how students' appraisal of such support co-varies with domain cognition, creative confidence, engagement, and independently assessed creative work. This within-course correlational study examined within-course change and theory-specified contemporaneous associations in a 72-h Furniture Appreciation and Selection course involving 150 vocational design students in China. Sustainable design cognition and creative self-efficacy were measured before and after the course; perceived GenAI-supported learning and learning engagement were measured after it; and final creative design performance was rated independently by three experts. Paired-samples t tests described within-course change. Item-level CFA preceded the score-level association analyses, while standardized composite-score ordinary least squares models and 10,000-resample percentile bootstrap confidence intervals summarized theory-specified post-course associations and coefficient products. Sustainable design cognition increased from 3.326 to 3.792, t (149) = 10.362,

Indexed as

creative design performancecreative self-efficacygenerative artificial intelligencelearning engagementsustainable design cognitionvocational design education

Identifiers

PMID42908914
PMCPMC13683594

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.