Evidence map›Paper›PMID 40676051›Full record

ArticleScientific reports2025

Modeling the relationships among physical education teachers' technological pedagogical content knowledge, technology integration self-efficacy, employability, and the mediating role of job passion.

Junyi Yu, Goudarz Alibakhshi

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 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

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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

4 citing papers in PubMed.

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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

2 authors.

Junyi YuCollege of Physical Education, Yunnan Normal University, Yunnan, Kunming, 650500, China.
Goudarz AlibakhshiAllameh Tabataba'i University, Tehran, Iran. alibakhshig@gmail.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The effective integration of technology in physical education (PE) depends on teachers' mastery of Technological Pedagogical Content Knowledge (TPCK), their Technology Integration Self-Efficacy (TIS), and Job Passion-factors that collectively shape their Employability. Understanding how these constructs interact is vital for improving instructional quality and professional development outcomes. This study examines the structural relationships among TPCK, TIS, Job Passion, and Employability among PE teachers. It also explores the mediating role of Job Passion in the effects of TPCK and TIS on Employability. A cross-sectional quantitative design was adopted, involving 340 PE teachers from various educational institutions in Yunnan Province, China. Participants responded to validated instruments measuring the four target constructs. Data were analyzed using Partial Least Squares Structural Equation Modeling (PLS-SEM) via SmartPLS 4. Model fit was assessed using key indices, including the standardized root mean square residual (SRMR), composite reliability, average variance extracted (AVE), and variance inflation factor (VIF), ensuring both measurement and structural model adequacy. The analysis supported all hypothesized relationships. TPCK positively influenced both TIS and Job Passion. TIS also significantly predicted Job Passion and Employability. Furthermore, Job Passion mediated the effects of TPCK and TIS on Employability, underscoring its central motivational role in professional development. The findings highlight the critical role of TPCK and TIS in enhancing PE teachers' Job Passion and Employability. These results advocate for sustained investment in professional development programs focused on technological competence and motivational growth to ensure high-quality, future-ready physical education instruction.

Indexed as

EmployabilityJob passionPhysical education teachersStructural equation modelingTechnological pedagogical content knowledge (TPCK)TIS

Identifiers

PMID40676051
PMCPMC12271320

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.