Evidence map›Paper›PMID 42344983›Full record

ArticleFrontiers in psychology2026

An associative model of Chinese university teachers' personality traits and students' classroom engagement from the teacher's perspective: the mediating role of emotional regulation.

Baohong Lu, Wenzhi Hou, Jinliang Sun, Lijun Wang

Abstract read
In one paragraph

Article in Frontiers in psychology, 2026. 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

4 authors.

Baohong Lu *Department of Inclusive Education, Shinhan University, Gyeonggi-do, Uijeongbu, Republic of Korea.
Wenzhi Hou *Institute of Physical Education, Xingyi Normal University for Nationalities, Guizhou, Xingyi, China.
Jinliang SunDepartment of Public Physical, Changchun Humanities and Sciences College, Jilin, Changchun, China.
Lijun WangDepartment of Basic Courses, Suzhou City University, Jiangsu, Suzhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Teachers' personality traits and emotional regulation are pivotal in shaping the instructional climate, yet the specific mechanisms through which these factors are collectively associated with student engagement from the teacher's perspective remain under-explored, particularly within a unified structural framework. Objective: This study aimed to construct and validate a structural associative model to explore the association of Chinese university teachers' Big Five personality traits with students' classroom engagement. Methods: A convenience sample of 154 university teachers from diverse regions and academic disciplines across China completed the NEO-PI-R (Chinese version), the Emotion Regulation Questionnaire, and an adapted Classroom Engagement Scale. A second-order structural equation model (SEM) with bootstrapping (5,000 resamples) was conducted to test the hypothesized mediation pathways. Results: The second-order SEM exhibited an excellent fit to the data (χ Conclusion: The results underscore that while teachers' stable dispositions provide a foundation for student involvement, adaptive emotional regulation-specifically cognitive reappraisal-may serve as a bridge linking these traits to engagement outcomes. This study provides empirical evidence for integrating emotion-management training into professional development to optimize teacher-student interactions in higher education.

Indexed as

big five personality traitsclassroom engagementemotional regulationstructural equation modeling (SEM)teacher's perspective

Identifiers

PMID42344983
PMCPMC13286929

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.