Evidence map›Paper›PMID 41717459›Full record

ArticleFrontiers in psychology2026

AI literacy and creative self-beliefs among Chinese college students: examining the underlying mechanisms and boundary conditions.

Cong Peng, Zhenlin Zhang, Zhenyun Zhang, Jie Zhang, Ziyi Zhang, Yuan Liu, Rui Jia, Xiaoyang Xu

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. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
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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.

Cong PengSchool of Education and Psychology, Hubei Engineering University, Xiaogan, China.
Zhenlin ZhangSchool of Education and Psychology, Hubei Engineering University, Xiaogan, China.
Zhenyun ZhangSchool of Computer and Information Science, Hubei Engineering University, Xiaogan, China.
Jie ZhangSchool of Computer and Information Science, Hubei Engineering University, Xiaogan, China.
Ziyi ZhangSchool of Education and Psychology, Hubei Engineering University, Xiaogan, China.
Yuan LiuSchool of Education and Psychology, Hubei Engineering University, Xiaogan, China.
Rui JiaSchool of Education and Psychology, Hubei Engineering University, Xiaogan, China.
Xiaoyang XuSchool of Education and Psychology, Hubei Engineering University, Xiaogan, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: With the rapid advancement of artificial intelligence (AI), enhancing AI literacy has become a critical objective in higher education. How to leverage AI to foster students' creativity thus emerged as a research focus. Creative self-beliefs (creative self-efficacy and creative personal identity) serve as a key predictor of individual creativity and innovative behavior. However, little is known about the direct and indirect associations of AI literacy on creative self-beliefs among college students. Methods: Based on self-efficacy theory, social cognitive theory, and cognitive load theory, this study investigated the relationship between college students' AI literacy and their creative self-beliefs, constructing a moderated mediation model. Standardized scales were employed to survey 644 Chinese college students. Results: (1) College students' AI literacy significantly and positively predicted their creative self-beliefs, and problem-solving ability partially mediated the relationship between them. The mediating effect of problem-solving ability accounted for 64.2% of the total effect. (2) Frequency of AI usage moderated both the direct path from AI literacy to creative self-beliefs and the path from problem-solving ability to creative self-beliefs. Discussion: These findings provide empirical evidence elucidating how AI literacy influences Chinese college students' creative self-beliefs, highlighting the necessity of aligning AI utilization with core competencies to maximize its value. The study concludes with recommendations for promoting critical engagement with AI tools to fully leverage the technology's potential for enhancing college students' confidence in innovation.

Indexed as

AI literacycollege studentscreative self-beliefsfrequency of AI usageproblem-solving ability

Identifiers

PMID41717459
PMCPMC12913461

What Socratic holds

Textmetadata
LicenceCC BY
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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 Socratic graph.