Determinants of Preschool Teachers' Attitudes towards Teaching
Bibliographic record
Abstract
This study sought to investigate determinants of pre-school teachers’ attitudes towards teaching in Thika Municipality, Kenya. The concern to stakeholders was the negative attitudes of the pre-school teachers towards teaching. Such a concern called for investigation. To accomplish this task, a descriptive survey design and Ex-post facto design were used. A total of 53 pre-school teachers and 12 administrators participated in the study. A simple random technique and purposive sampling were employed to identify study samples. In addition, questionnaires and interviews were used to collect data. The statistical procedures were carried out using the statistical package for social sciences (SPSS). Qualitative and quantitative techniques were employed in order to analyse the obtained data. The study revealed there were still low levels of training among pre-school teachers, teachers with few years of teaching experience were the ones involved in teaching in the pre-schools and teachers in public pre-schools were more positive towards their job than their colleagues in private schools. Among the recommendations were that pre-school teachers work under the Ministry of Education and an attempt be made to improve the retention level of teachers. Administrators should also work on modalities of motivating their teachers.
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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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".