Are teachers with better quality of work life more innovative? The mediating roles of psychological empowerment and teaching mindsets
Bibliographic record
Abstract
Are teachers with better quality of work life (QWL) more innovative, and why? This study examined the relationship between teachers' QWL and their innovative behaviours, alongside the potential underlying mechanisms through psychological empowerment and teaching mindsets. A total of 321 elementary teachers completed a questionnaire. Path analysis demonstrated a significant positive association between QWL and innovative teaching behaviours. Moreover, both psychological empowerment and teaching mindsets significantly mediated this relationship. Specifically, teachers with higher QWL showed greater psychological empowerment and embraced stronger growth mindsets about their teaching abilities, which enables them to become more innovative in their teaching approaches. These findings suggest that quality of work life is not just a matter of teachers' well-being, but it also plays an important role in their teaching quality, which can ultimately benefit the institutions and the students.
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How this classification was reachedexpand
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 | 0.002 | 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 | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".