Teachers' Emotional Intelligence and Self-efficacy: Mediating Role Of Teaching Performance
Bibliographic record
Abstract
We investigated the relationship between teachers' emotional intelligence (EI) and self-efficacy, and tested whether this relationship was mediated by teaching performance. Participants were 467 Chinese middle school teachers (312 women; 66.8%). They completed 3 questionnaires relating to EI, self-efficacy, and teaching performance. The results showed that the total effect of EI on self-efficacy was .61, indicating that higher EI is positively correlated with a higher level of self-efficacy. This relationship was partially mediated by teaching performance. In the mediating model for teaching performance, the direct effect of EI on teachers' self-efficacy was .23 and the mediating effect of teaching performance on the relationship between EI and teachers' self-efficacy was .45. In addition, both the direct and mediating effects were invariant across gender and teaching experience. These results indicate that an increase in EI largely enhances teachers' self-efficacy only when emotional skills are successfully used to improve teachers' performance.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".