Professionalism, Urban Settings, and Teachers’ Self-Efficacy in Developing Countries: A Ghanaian Perspective.
Bibliographic record
Abstract
In achieving the goals of education, it is imperative for teachers to have high self-efficacy which has a direct positive effect on their delivery and for the overall benefit of their pupils. This study was in three-fold. First was to access the influence of teachers’ demographics on their self-efficacy. Second, how work environment influences teachers’ self-efficacy and finally, how their self-efficacy impact students’ performances in the Bolgatanga municipality of Ghana. The efficacy dimensions studied are classroom management practices, classroom instructional practices, and student engagement. It was noted that whiles gender has no significant impact on teachers’ self-efficacy, older, more educated and highly experienced teachers had higher self-efficacy. Also, teachers in the urban area tend to have higher self-efficacy than those in rural areas. Not overlooking other factors, students’ poor performance in some rural areas can largely be attributed to the lower self-efficacy of their teachers as compared to their urban counterparts. Governments should intensify their extrinsic motivation packages to make life more comfortable for teachers working in rural areas and by bridging the rural-urban developmental gap. It is also imperative to intensify self-efficacy in teacher trainees to increase their self-confidence where ever they find themselves.
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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 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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 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".