Relationships between Language Teachers’ Time-management Skills, Creativity, and Burnout: A Mediation Analysis
Bibliographic record
Abstract
The present study aimed to investigate the effects of language teachers` time management and creativity skills on their burnout levels. The sample consisted of 213 Iranian language teachers. The Maslach Burnout Inventory (MBI), Creative Behavior Inventory (CBI) and Time Management Skills Questionnaire (TMSQ) were employed for data collection. By taking a Structural Equation Modeling approach, the study proposed a model that explored the direct effects of teacher creativity on burnout level of language teachers. Additionally, the study investigated the mediating role of time management skills on the correlations between teacher creativity and burnout levels. The results revealed that the total effects of creativity on all aspects of burnout dimensions were significant; however, after the intervention of time management as a variable, the effect of depersonalization proved insignificant; and, although still significant, for the other two subscales of burnout (emotional exhaustion and depersonalization), the effect markedly decreased. Therefore, the mediation role of time management was rejected.
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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 | 0.006 | 0.013 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.002 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.008 | 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".