Investigating fixed and growth teaching mindsets and self-efficacy as predictors of language teachers’ burnout and professional identity
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
Learning about the factors that play a positive or negative role in language teachers’ dissatisfaction, stress and exhaustion, and challenge their identity as a teacher might provide teaching programs with suggestions on how to prevent teacher burnout. This study investigated whether teachers’ mindsets about stability or malleability of teaching ability (fixed and growth mindsets) and self-efficacy predicted their burnout and professional identity beliefs. The participants of the present study were 166 English as a foreign language (EFL) teachers. The teachers completed self-report scales on teaching mindsets, burnout, professional identity, and self-efficacy. The results of path analysis showed that fixed teaching mindsets productively predicted emotional exhaustion and depersonalization while growth teaching mindsets and teacher self-efficacy positively predicted personal accomplishment and teacher professional identity. The implications for future research in the field are presented.
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 | 0.011 | 0.008 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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