Teachers' Emotional Intelligence and Self-efficacy: Mediating Role Of Teaching Performance
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
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.
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.
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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 it