Needs Assessment of Participatory School Management for Educational Quality Development of Small Primary Schools Under the Office of Basic Education Commission in the Northeastern Region
Bibliographic record
Abstract
This research aimed to study the current conditions, desirable conditions, and needs assessment in participatory school administration of small primary schools under the Office of Basic Education Commission in the Northeastern region. The sample consisted of 367 teachers from small primary schools under the Office of Basic Education Commission in the academic year 2024. The research instrument was a 5-rating scale questionnaire assessing current and desirable conditions. The statistics used for data analysis included frequency, percentage, arithmetic mean, standard deviation, and Priority Needs Index (PNImodified). The findings revealed that the current condition was at a high level (x̄ = 3.92), and the desirable condition was at the highest level (x̄ = 4.54). The overall needs assessment (PNImodified = 0.16) indicated that academic administration had the highest priority needs (PNImodified = 0.26), followed by personnel administration (PNImodified = 0.15), general administration (PNImodified = 0.14), and budget administration (PNImodified = 0.10), respectively. The research results suggested that emphasis should be placed on building cooperation among all stakeholders for continuous and sustainable educational quality development.
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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 | 0.004 | 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".