Model of Learning Organizational Development of Primary School Network under the Office of Basic Education Commission
Bibliographic record
Abstract
The objectives of this study were 1) to study the current state of and problems with the Learning Organization of the Primary School Network, 2) to develop a Learning Organization Model for the Primary School Network, and 3) to study the findings of analyses conducted using the developed Learning Organization Model to determine how to develop the Primary School Network. The research procedure, including the research development, consisted of 3 phases. A descriptive analysis was employed in which percentage, mean, and standard deviation data were used as statistical tools. The research findings revealed the following: 1) The current state of the Learning Organization of the Primary School Network and its associated problems were at moderate and high levels, respectively. 2) The Learning Organization Model for the Primary School involved personnel development of schools in the network that were motivated to engage in continuing development, which led to knowledge, knowledge accumulation, and knowledge formation through work experiences at the individual, team network, and network levels. 3) The implementation of the Learning Organizational Model led to the Primary School Network receiving higher scores on post-development tests compared with pre-development tests and provided satisfaction at the highest level. In conclusion, the developed model demonstrated usefulness, feasibility, propriety, and accuracy, indicating that it is adequate for implementation in real situations. Furthermore, it was appropriate in the studied context and could be used to develop the Primary School Network into a Learning Network. The knowledge and skills developed during this process can be used to develop the Primary School Network more efficiently.
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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 | 0.003 |
| 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 | 0.000 |
| 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".