Evidence map›Paper›PMID 41756079›Full record

ArticleFrontiers in public health2026

How to promote student creativity through AI in higher education: the role of students' attitude and digital competencies.

Feifei Hao, Zhanyou Wang, Liang Ma, Hui Zhao, Xinkui Liu, Xin Zhao, Na Zhang, Xia Li

Abstract read
In one paragraph

Article in Frontiers in public health, 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

8 authors.

Feifei HaoCollege of Traditional Chinese Medicine, Shandong University of Traditional Chinese Medicine, Jinan, China.
Zhanyou WangSchool of Labor Relations, Shandong Management University, Jinan, China.
Liang MaSchool of Management Science and Engineering, Shandong University of Finance and Economics, Jinan, China.
Hui ZhaoSchool of Health, Shandong University of Traditional Chinese Medicine, Jinan, China.
Xinkui LiuInnovation Research Institute of Traditional Chinese Medicine, Shandong University of Traditional Chinese Medicine, Jinan, China.
Xin ZhaoSchool of Pharmacy, Shandong University of Traditional Chinese Medicine, Jinan, China.
Na ZhangCollege of Acupuncture and Moxibustion and Tuina, Shandong University of Traditional Chinese Medicine, Jinan, China.
Xia LiCollege of Traditional Chinese Medicine, Shandong University of Traditional Chinese Medicine, Jinan, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Artificial intelligence (AI) is increasingly integrated into higher education, yet how different purposes of AI use influence student creativity remains underexplored. In particular, little is known about the mediating role of digital competencies and the moderating role of students' attitudes toward AI. Drawing on Social Cognitive Theory, this study examines how AI use for learning and AI use for entertainment relate to student creativity through digital competencies, and how attitudes toward AI condition these relationships. Data were collected from 271 undergraduate students majoring in Traditional Chinese Medicine in China and analyzed using PLS-SEM and moderated mediation analysis. The results show that both learning-oriented and entertainment-oriented AI use positively relate to digital competencies, which in turn enhance student creativity. Digital competencies fully mediate the relationship between AI use for learning and creativity and partially mediate the relationship between AI use for entertainment and creativity. Moreover, attitudes toward AI play a dual moderating role: positive attitudes strengthen the effect of entertainment-oriented AI use but weaken the effect of learning-oriented AI use on digital competencies. This study contributes to the literature by distinguishing different purposes of AI use, identifying digital competencies as a key explanatory mechanism, and revealing the nuanced role of attitudes toward AI in shaping creativity outcomes. It also offers practical implications for designing AI-supported educational practices in specialized domains such as Traditional Chinese Medicine.

Indexed as

Artificial IntelligenceAttitudeCreativityStudentsAcademiaAdultChinaDigital MediaFemaleHumansLearningMaleMedicine, Chinese TraditionalUniversitiesYoung AdultAIAI used for entertainmentAI used for learningattitudes toward AIdigital competenciesstudent creativity

Identifiers

PMID41756079
PMCPMC12932527

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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.