Factors Influencing Early Childhood Development Teachers’ Motivation in Thika District, Kenya
Bibliographic record
Abstract
Early Childhood Development (ECD) centres comprise one of the immediate social and physical environments influencing children’s development, that Bronfenbrenner (1986, 1989) terms Microsystems. The Microsystems are made up of personal qualities of the people therein (particularly teachers) and the physical environments. In order for ECD centres to provide the necessary conditions for children’s holistic development, teachers should be well motivated and physical facilities conducive for working and learning. The sample of the study was comprised of 40 ECD centres and 46 ECD teachers. Preschool Teachers’ Motivation Questionnaire and an observation checklist were used to collect the primary data. Secondary data were obtained from various records in the ECD centres. Among the key findings was the revelation that the motivation levels of more than 50% of the teachers were below average. The study recommended that the Ministry of Education and communities work together to improve ECD teachers’ terms and conditions of service as well as the learning/teaching environment.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| 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".