Evidence map›Paper›PMID 41350741›Full record

ArticleBMC psychology2025

Unveiling the relationship between students' perceived teacher support and student engagement in EFL learning: the mediating role of self-efficacy.

Junjian Liang, Anne Li Jiang, Yidan Jin

Abstract read
In one paragraph

Article in BMC 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
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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

3 authors.

Junjian LiangSchool of International Studies, Northeast Normal University, Changchun, China.ORCID http://orcid.org/0009-0007-5229-6041
Anne Li JiangSchool of International Studies, Northeast Normal University, Changchun, China. jiangl063@nenu.edu.cn.ORCID http://orcid.org/0000-0001-6515-9512
Yidan JinSchool of Foreign Language Education, Jilin University, Changchun, China.

Funding

the National Social Science Fund of China 19BYY219
6 · The paper itself

Abstract

backgroundStudent engagement (SEN) is pivotal for meaningful learning, yet the factors influencing engagement in EFL settings remain insufficiently understood. This study examines the roles of students' perceived teacher support (SPTS) and self-efficacy (SEF) in shaping engagement among Chinese EFL learners.

methodsA total of 2263 participants were surveyed using a quantitative approach. Structural equation modeling (SEM) was applied using SPSS 23.0 and AMOS 26.0 to examine the relationships among students' perceived teacher support, self-efficacy, and student engagement.

resultsThe results revealed that students' perceived teacher support positively predicted both self-efficacy and student engagement. Additionally, self-efficacy was found to not only directly influence student engagement but also partially mediate the relationship between students' perceived teacher support and student engagement.

conclusionsThis inquiry extends the theoretical understanding of SCT by providing empirical evidence and deepens our understanding of how contextual (i.e., students' perceived teacher support) and individual (i.e., self-efficacy) factors specifically influence behavior (i.e., student engagement) in the Chinese EFL learning context, offering valuable insights for educators to design targeted interventions to optimize language teaching and learning.

Indexed as

LearningSchool TeachersSelf EfficacySocial SupportStudentsAdolescentAdultChinaFemaleHumansMaleSurveys and QuestionnairesYoung AdultEFL learningSelf-efficacySEMStudent engagementStudents’ perceived teacher support

Identifiers

PMID41350741
PMCPMC12797349

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.