Evidence map›Paper›PMID 41346524›Full record

ArticleFrontiers in psychology2025

Social media, digital literacy, and career competence: a mixed methods study among university students in China.

Chen Jian, Danting Zou, Nomahaza Mahadi

Abstract read
In one paragraph

Article in Frontiers in psychology, 2025. 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
  2. Article
  3. Frontiers in psychology · 2026
    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

3 authors.

Chen Jian *School of Digital Economy and Trade, Guangzhou Maritime University, Guangzhou, China.
Danting Zou *Azman Hashim International Business School (AHIBS), Universiti Teknologi Malaysia, Kuala Lumpur, Malaysia.
Nomahaza MahadiAzman Hashim International Business School (AHIBS), Universiti Teknologi Malaysia, Kuala Lumpur, Malaysia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: The widespread use of social media has transformed how university students develop knowledge and prepare for future careers. However, limited evidence exists on whether structured and purposeful engagement with these platforms can strengthen students' digital literacy and career competence, particularly within the Asian higher education context. Methods: Guided by Social Cognitive Career Theory and gamified learning principles, this study employed a convergent parallel mixed-methods design. A one-month intervention was implemented with 44 undergraduates from three Chinese universities, involving structured social media tasks delivered through gaming and livestream activities. Results: Quantitative analyses revealed significant gains in digital literacy, professional skills, learning attitudes, and career competence. Digital literacy also emerged as a strong predictor of both professional skills and career competence. Complementary qualitative findings highlighted students' enhanced self-regulation, stronger employability orientation, and a shift toward viewing social media as a professional rather than purely social tool. Discussion: These findings suggest that short, gamified social media interventions can effectively and sustainably enhance students' digital capabilities and career readiness. The study extends the application of Social Cognitive Career Theory to media-rich learning environments and provides practical implications for higher education institutions seeking to strengthen graduate employability.

Indexed as

career competencedigital literacygamificationhigher educationmixed methodsSocial Cognitive Career Theorysocial media

Identifiers

PMID41346524
PMCPMC12673393

What OpenQuestion holds

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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 OpenQuestion graph.