Relationship Between Teacher Job Satisfaction and Productivity in the Asante Akim South District of the Ashanti Region of Ghana
Bibliographic record
Abstract
The aim of this study was to assess how basic school teachers’ job satisfaction relates to their productivity in the Asante Akim South District of the Ashanti Region of Ghana. The descriptive design was employed in conducting the study. The population covered all the Basic School teachers in the Asante Akim South District. The sample size was 217, made up of 179 males and 38 females. A questionnaire was used to collect data from respondents. Data analysis was done, using frequency and percentage counts as well as the Pearson Product Moment correlation. Key findings of the study indicated that majority (71.9%) of the respondents perceived that the government’s District Best Teacher award scheme only motivates a few teachers at the expense of the majority of teachers. Teachers’ level of job satisfaction shows a strong positive correlation with teacher productivity (r = 0.870, p = 0.020). In order to enhance teacher job satisfaction and productivity, it was recommended that the District Best Teacher award scheme should be made to cover at least 20% of teachers in the district instead of an individual so that majority of them would not feel unmotivated, neglected and unrecognized. Government should make teacher promotions and salaries relatively equitable and competitive with that of workers in other analogous institutions in the country in order to enhance their job satisfaction and productivity.
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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 | 0.001 | 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".