The Role of EFL Teachers' Self-regulation in Effective Teaching
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
his article investigated the relationship between EFL teachers' self-regulation and teaching effectiveness. In so doing, 76 EFL teachers were selected according to a convenience sampling from different English language institutes in Mashhad, a city in north-eastern Iran. The findings of the study indicated that there is a significant relationship between EFL teachers' self-regulation and their teaching effectiveness. Subsequent data analyses indicated that among the components of self-regulation, intrinsic interest, mastery-goal orientation, and emotional control have the highest correlations with teaching effectiveness. Based on the findings of the present study teacher educators, administrators, and policy makers are recommended to incorporate self-regulated learning strategies to teacher training programs. The findings of the present study may also highlight the contributing roles of intrinsic and emotional factors in teaching effectiveness.
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 | 0.006 | 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 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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