Evidence map›Paper›PMID 41181676›Full record

ReviewFrontiers in psychology2025

The impact of AI-based painting technology on children's creative thinking.

Anna Wang, Yuxin Zhang, Anman Wang, Wei Zheng

Abstract readReview
In one paragraph

Review in Frontiers in psychology, 2025. 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

4 authors.

Anna WangFaculty of Education, Jiangxi Science and Technology Normal University, Nanchang, China.
Yuxin ZhangFaculty of Education, Jiangxi Science and Technology Normal University, Nanchang, China.
Anman WangFengzhuang Primary School, Shouxian, Huainan, China.
Wei ZhengCollege of Fine Arts, Jiangxi Science and Technology Normal University, Nanchang, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

With the emerging application of artificial intelligence (AI) in education, AI-based painting technology has been fully introduced into the development of children's creative thinking. However, the following studies mainly focus on the technological development and system optimization. There are concerns on the limited educational perspectives, sampling biases, and imperfect theoretical frameworks which restrict the effective evaluation on the AI tools and children's art education. In this paper, we conduct a systematic review and examines the multidimensional impacts of AI-based painting tools on children's creative thinking, including the creative expression, original creation, independent thinking and problem solving. With the PRISMA guidelines, we analysis 20 empirical articles (14 from Scopus and Web of Science and 6 from other sources) and provide recommendations on how educators can effectively integrate these tools into art education to foster children's creative thinking. We find that AI tools enhance creative expression through virtual interaction and personalized learning. However, there are still risks of cognitive homogenization due to standardized interfaces and the disconnection between theory and practice. Our study propose evidence-based strategies for educators to select age-appropriate tools and implement process-oriented assessments. We also advocate the application of technology from educational and humanistic perspectives to balance technical effectiveness and humanistic educational goals.

Indexed as

AI-based painting technologyart educationchildren’s creative thinkingeducational technologysystematic review

Identifiers

PMID41181676
PMCPMC12572844

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.