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Record W4411261569 · doi:10.23977/aetp.2025.090318

The Correlation between English Emotional Intelligence and Work Engagement of Secondary School Teachers in China

2025· article· en· W4411261569 on OpenAlexvenueno aff

Bibliographic record

VenueAdvances in Educational Technology and Psychology · 2025
Typearticle
Languageen
FieldPsychology
TopicEmotional Intelligence and Performance
Canadian institutionsnot available
Fundersnot available
KeywordsEmotional intelligenceChinaPsychologyCorrelationMathematics educationWork engagementWork (physics)PedagogyPolitical scienceSocial psychologyEngineeringMathematics

Abstract

fetched live from OpenAlex

Emotional intelligence is distinguished as a key factor that influences work engagement. However, there is limited research exploring the relationship between emotional intelligence and work engagement among secondary school English teachers in China's ethnic regions. Therefore, this study utilizes self-determination theory to support how emotional intelligence affects work engagement in such educational contexts. This study used purposive sampling to survey 301 secondary school English teachers from different ethnic regions in China. SPSS 27.0 was used for correlation analysis. The results of the study showed that (1) English teachers have higher levels of emotional intelligence and work engagement, reflecting the overall high psychological quality of the participants. (2) There is a positive correlation between the variables, showing their positive relationship. Ultimately, this study provides pedagogical insights for educational policy makers and practitioners to guide the improvement of teacher training and support systems so that they can work together to promote educational quality and equity in ethnically diverse regions.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.152
Threshold uncertainty score0.450

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.020
GPT teacher head0.377
Teacher spread0.357 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2025
Admission routes1
Has abstractyes

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