Evidence map›Paper›PMID 41567459›Full record

ArticleFrontiers in psychology2025

The influence of collaborative music creation supported by generative artificial intelligence on students' creativity.

Ziqiu Zhuang, Xue Li

Abstract read
In one paragraph

Article in Frontiers in psychology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Article
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

2 authors.

Ziqiu ZhuangGraduate School, Department of Education, Gachon University, Seongnam, Republic of Korea.
Xue LiGraduate School, Department of Education, Gachon University, Seongnam, Republic of Korea.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: The integration of generative artificial intelligence (GAI) into education is advancing rapidly, and its potential in creative learning contexts is gaining increasing attention.However, in the domain of music education, the mechanisms through which GAI exerts its influence remain underexplored. Methods: This study investigates the effects of GAI-supported collaborative music creation on college students' creative interest, creative self-efficacy, self-regulated learning ability, and perceived creative competence. Employing a mixed-method approach that combines structural equation modeling (SEM) with experimental design, the study analyzes data from a sample of 405 university students in China. Results: The results reveal that GAI support significantly enhances creative interest ( Discussion: These findings offer empirical support for a theoretical model of AI-enhanced creativity and provide valuable insights for the design and implementation of intelligent music education environments.

Indexed as

collaborative learningcreativitygenerative AIlearning achievementmusic education

Identifiers

PMID41567459
PMCPMC12816313

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.