Evidence map›Paper›PMID 41608187›Full record

ArticleFrontiers in psychology2025

Emotional intelligence and language learning performance of EFL learners in China: chain mediating effects of willingness to communicate and foreign language learning boredom.

Ruoting Wang, Qingshu Xu

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
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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.

Ruoting WangForeign Studies College, Hunan Normal University, Changsha, China.
Qingshu XuCollege of Education, University of Maryland, College Park, MD, United States.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Emotional intelligence (EI) has been widely recognized as a key affective factor in second language (L2) learning, yet its underlying mechanisms remain insufficiently explained. Drawing on Control-Value Theory (CVT), this study conceptualizes EI as a distal resource that enhances control-value appraisals, thereby fostering communicative engagement and mitigating negative achievement emotions, which jointly influence performance. Methods: A total of 1,158 Chinese undergraduates from seven universities completed validated measures of EI, willingness to communicate (WTC), foreign language learning boredom (FLLB), and submitted EFL test results. Structural equation modeling (SEM) was conducted using parcel-level indicators, and indirect effects were examined via bootstrap estimation ( Results: The hypothesized model demonstrated excellent fit and revealed that EI directly predicted language performance and indirectly influenced outcomes through both WTC and FLLB. Specifically, EI enhanced WTC, which reduced FLLB, and these factors jointly contributed to improved performance. Although the sequential (EI → WTC → FLLB → Performance) path was modest, it supported the theorized chain mediation mechanism consistent with CVT. Discussion: The findings provide conceptual evidence that EI promotes language learning success not only by increasing communicative willingness but also by buffering against boredom-a low-control, low-value emotion. This integrative perspective advances a process-oriented account of how affective and motivational systems interact in L2 learning. Practically, it suggests that classroom interventions combining emotional competence training, autonomy-supportive pedagogy, and value-enhancing communicative tasks may strengthen engagement while alleviating boredom.

Indexed as

boredomemotional intelligencelanguage learningmediationmotivation

Identifiers

PMID41608187
PMCPMC12835198

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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.