Evidence map›Paper›PMID 41339381›Full record

ArticleScientific reports2025

Modeling information literacy in Chinese physical education: the roles of technology integration, teaching practices, self-efficacy, and academic performance.

Xiangle Zhang, Hongxia Tian

Abstract read
In one paragraph

Article in Scientific reports, 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

2 authors.

Xiangle ZhangSchool of Physical Education, Henan Institute of Science and Technology, Xinxiang, 453003, Henan, China.
Hongxia TianSchool of Physical Education, Henan Institute of Science and Technology, Xinxiang, 453003, Henan, China. tianhongxia@hist.edu.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study used a cross-sectional survey design to examine how Chinese physical education institutions employ technology to improve pedagogy, classroom climate, educational resources, and students' information use and comprehension. Six hundred fifty undergraduate students from Henan, Hebei, Guangdong, Jiangsu, and Sichuan participated in the survey, which was analyzed using structural equation modeling (SEM) based on Social Cognitive Theory and the Technology Acceptance Model. The results indicate that technology, teaching methods, learning materials, and classroom atmosphere all contribute to promoting information literacy. The study engaged mediation and moderation effects to elucidate how psychological and contextual factors influence physical education information literacy, thereby advancing both theory and practice. Self-efficacy mitigated the impacts of instructional materials and classroom climate, while self-reported academic performance increased the effects of technology tools and pedagogical techniques. The cross-sectional investigation found associations rather than causality. Results show that consistent staff training, equal access to resources, and initiatives to promote students' self-esteem in using technology in physical education are priorities.

Indexed as

Academic PerformanceInformation LiteracyPhysical Education and TrainingSelf EfficacyAdolescentAdultChinaCross-Sectional StudiesEast Asian PeopleFemaleHumansMaleStudentsSurveys and QuestionnairesTeachingYoung AdultChinaClassroom environmentEducational resourcesInformation literacySelf efficacyStructural equation modelingTeaching practicesTechnology integration

Identifiers

PMID41339381
PMCPMC12675512

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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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.