Need Assessment of Education Management According to Sub-District Non-Formal and Informal Education Centre Standards for Excellence
Bibliographic record
Abstract
This study aims to study the Current Conditions, Desirable Conditions, and Necessary Needs of Educational Management according to standards for Excellence of Sub – District Non – Formal and Informal Education Centre. And to study educational management guidelines according to the Sub – District Non – Formal and Informal Education Centre Standards for Excellence. There were two steps: Step 1: Study the Current Conditions, Desirable Conditions, and Needs of educational management standards of Sub – District Non – Formal and Informal Education Centre Standards for Excellence. The sample consisted of 40 school administrators and 328 of the heads of Sub – District Non – Formal and Informal Education Centre, a total of 368 attended in the academic year 2022 using Multi-stage Random Sampling. Step 2: Study the standard educational management guidelines. The informants are qualified by studying best practices from five Models of Sub – District Non – Formal and Informal Education Centres, two persons, totaling ten people, by specific sampling. The research instruments: 1) The Current Conditions and Desirable Conditions Questionnaire following educational management according to standards for Excellence of Sub–District Non–Formal and Informal Education Centre, a 5-level rating scale. 2) Semi-structured interview 3) The Educational Management Approach Assessment Form is a 5-level estimation scale with statistics used to analyze the data, including mean, standard deviation, priority sorting of PNImodified data, and content analysis. The results showed that 1) the current condition as a whole and in terms of study is at a high level; Overall desirable conditions are at the highest level. One aspect is at the highest level: six are at the highest level. Considering the necessary needs, it found that the needs of educational management according to the standards. There is a need to develop all seven areas as follows Organizational Leadership, Strategic Planning, Learner and Stakeholder Focus, Knowledge Analysis and Management Measurement, Processing Management, and Personnel Focus. 2) the suggestions were seven aspects and 135 approaches as follows Workshops, Learning from other people, Brainstorming, Operating Integration, Mentoring, and Learning from successful organizations.
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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 | 0.006 | 0.019 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".