Evaluating Parental Preferences for Preschool Education in Malaysia: A Case Study of Kindergartens in Pulau Pinang
Bibliographic record
Abstract
The study aims to investigate the factors that affect the parent’s choice of preschools in Malaysia. The quantitative research design was adopted to carry out the research. A questionnaire was uploaded on the Internet and dispersed to the target population consisting of parents who send their children to preschools. A total of 100 competed questionnaires were collected and processed and analyzed statistically. The findings showed that the main factors that affected the decision of parents to choose a preschool were curriculum factors, academic factors, school-parent relationships, and school facilities. The findings suggest that Malaysian parents attach a lot of importance to the quality of the curriculum, positive academic factors, their relationship with the school, the school facilities. Based on these findings, it is suggested that Malaysian preschools can enhance the attractiveness of their brands by enhancing the quality of their curriculum, ensuring better quality academic related factors, creating stronger and closer school-parent relationships and ensuring that their preschools equipped with modern and attractive facilities.
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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 | 0.005 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 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 | 0.001 |
| 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 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".