Evidence map›Paper›PMID 41510822›Full record

ArticleNurse educator

The Mediating Effect of Professional Commitment Between Environmental Support on Campus and AI Literacy Among Nursing Students: A Cross-Sectional Study.

Yingying Wang, Lianhua Li, Yingxin Zhao, Zhengxia Yang, Shaoyong Ma

Abstract read
In one paragraph

Article in Nurse educator. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

5 authors.

Yingying WangAssistant Professor (Mr Wang), Emergency Intensive Care Unit, Yijishan Hospital of Wannan Medical College, Wuhu, P.R. China.
Lianhua LiMaster Candidate (Mr Li and Ms Zhao), Emergency Intensive Care Unit, Yijishan Hospital of Wannan Medical College, Wuhu, P.R. China.
Yingxin ZhaoMaster Candidate (Mr Li and Ms Zhao), Emergency Intensive Care Unit, Yijishan Hospital of Wannan Medical College, Wuhu, P.R. China.
Zhengxia YangDirector (Ms Yang), Nursing Department of Yijishan Hospital, Wannan Medical College, Wuhu, P.R. China.
Shaoyong MaDirector (Dr Ma), School of Nursing, Wannan Medical College, Wuhu, P.R. China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundWith AI technologies increasingly integrated into nursing education, enhancing AI literacy among nursing students is critical, yet influencing factors remain understudied. PURPOSE: This study assessed AI literacy levels among nursing students, identified key influencing factors, and examined the mediating role of professional commitment between campus environmental support and AI literacy.

methodsA cross-sectional survey was conducted with 1680 nursing students from 6 medical colleges in Anhui Province, China, using convenience sampling. Data were collected through structured scales and analyzed via multiple linear regression and mediation models.

resultsAI literacy was moderately high, positively influenced by urban residence and prior AI training. Campus support directly enhanced it (β = 0.675), with professional commitment serving as a partial mediator (indirect β = 1.857).

conclusionsTo enhance AI literacy, increasing campus AI resources, improving educational environments, and strengthening professional commitment are recommended, integrating AI competency into nursing education.

Indexed as

Artificial IntelligenceStudents, NursingAcademiaAdultChinaCross-Sectional StudiesEducation, Nursing, BaccalaureateFemaleHumansMaleNursing Education ResearchSurveys and QuestionnairesYoung Adultacademic resources for AI literacynursing studentsprofessional commitmentstudent support

Identifiers

PMID41510822
PMCPMC13102344

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.