Evidence map›Paper›PMID 40442276›Full record

ArticleScientific reports2025

Exploring factors influencing digital literacy among higher vocational students based on quantitative evidence.

Shun Xu, Ling Wang, Sha Zhu, Yangwei Dai

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. Cited by 1 paper.

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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

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2 · The registry

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Shun XuNormal School of Vocational and Technical Education, Hubei University of Technology, Wuhan, 430068, Hubei Province, China.
Ling WangNormal School of Vocational and Technical Education, Hubei University of Technology, Wuhan, 430068, Hubei Province, China.
Sha ZhuFaculty of Artificial Intelligence in Education, Central China Normal University, Wuhan, 430079, Hubei Province, China. zhusha@mail.ccnu.edu.cn.
Yangwei DaiNormal School of Vocational and Technical Education, Hubei University of Technology, Wuhan, 430068, Hubei Province, China.

Funding

Research on Graph Neural Network-Based Cognitive Diagnosis Method Integrating Course Knowledge Modeling in the Context of Digital Textbook 62477021the Key Project of the Education Science Plan of Hubei Province in 2023 "Research on the Connotation Value, Evaluation Framework, and Improvement Path of Digital Literacy of University Teachers in the Perspective of Digital Transformation" 2023ZA032the Major Project of Philosophy and Social Sciences Research in Higher Education Institutions in Hubei Province in 2023 "Research on the Intelligent Evaluation and Development Mechanism of Digital Literacy of Vocational College Students from the Perspective of Computational Psychometrics" 23ZD236
6 · The paper itself

Abstract

In the era of digital economy, enhancing the digital literacy (DL) of higher vocational students (HVSs) is crucial for cultivating skilled talents in digital industries and promoting the high-quality development of vocational education. Previous research on DL mainly focused on higher education, teacher education, the field of library and information etc., but rarely investigated HVSs in detail, and constitutes a research gap that requires the attention of the vocational education community. To explore the current DL level of HVSs and to establish potential factors that will lead to its improvement, this study conducted a survey-based quantitative approach with 348 participants from a vocational college in H province. Pearson correlation analysis and regression analysis were used to systematically investigate the level of DL among HVSs and its influencing factors. Results show that the overall DL of HVSs is moderately high and the five factors of computer self-efficacy (CSE), Internet attitudes, social media competence (SMC), school organizational support, and teachers' DL conveyance all had a positive predictive effect on HVSs' DL. Among these factors, teachers' DL education was found to be the strongest predictor. These results emphasize the importance of DL education for HVSs and provide a practical direction for improving HVSs' DL.

Indexed as

Computer LiteracyStudentsVocational EducationAdultChinaFemaleHumansInternetMaleSelf EfficacySocial MediaSurveys and QuestionnairesUniversitiesYoung Adult

Identifiers

PMID40442276
PMCPMC12122874

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.