Evidence map›Paper›PMID 38259574›Full record

ArticleFrontiers in psychology2023

Exploring the relationships among teacher-student dynamics, learning enjoyment, and burnout in EFL students: the role of emotional intelligence.

Ying Li, Li Zhang

Abstract read
In one paragraph

Article in Frontiers in psychology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed, 1 pooled it
–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

14 citing papers in PubMed, 1 synthesis or guideline pooled it.

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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.

Ying LiSchool of Foreign Languages, Xinjiang Normal University, Ürümqi, China.
Li ZhangSchool of Foreign Languages, Xinjiang Normal University, Ürümqi, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Within the realm of Chinese English as a Foreign Language (EFL) education, this research endeavors to explore the intricate interplay among teacher-student relationships, learning enjoyment, and burnout. It specifically aims to investigate the potential mediation role of emotional intelligence. The study delves into the experiences of 806 EFL students to comprehensively scrutinize these dynamics. Methods: Employing Structural Equation Modeling (SEM), this study conducts a thorough analysis of the relationships between teacher-student dynamics, learning enjoyment, and burnout among EFL students. The primary objectives involve uncovering correlations among these factors and elucidating the potential mediating impact of emotional intelligence. Results: The findings underscore robust associations between positive teacher-student relationships, heightened learning enjoyment, and reduced levels of burnout among EFL students. Noteworthy is the pivotal role of emotional intelligence, acting as a mediator, offering insights into the intricate ways in which teacher-student relationships and learning enjoyment influence burnout levels. Discussion: These outcomes highlight the significance of nurturing students' emotional intelligence as a protective factor against burnout, advocating for tailored educational interventions. The research advocates for proactive measures to enhance emotional intelligence among EFL students, emphasizing its potential to mitigate burnout. Moreover, it suggests pedagogical strategies and institutional support prioritizing emotional intelligence to foster the well-being and academic success of Chinese EFL students.

Indexed as

burnoutEFL studentsemotional intelligencelearning enjoymentstructural equation modeling (SEM)teacher–student relationship

Identifiers

PMID38259574
PMCPMC10800580

What OpenQuestion holds

Textmetadata
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.