Development of Instructional Leadership Indicators of Teachers in Educational Opportunity Expansion Schools under the Primary Educational Service Area Offices in the Northeast
Bibliographic record
Abstract
The purposes of this study were to: 1) identify instructional leadership of teachers, 2) develop the Instructional leadership indicators of teachers, 3) investigate the goodness-of-fit between the structural model of instructional leadership indicators of teachers and empirical data, and 4) produce a user manual of the instructional leadership indicators of teachers in educational opportunity expansion schools under the Primary Educational Service Area Offices in the northeast. The study was divided into four phases. The findings were as follows 1. The components of instructional leadership of teachers in educational opportunity expansion schools consisted of seven components, namely 1) self and other teacher development, 2) curriculum development ability, 3) learning management ability, 4) learning assessment and evaluation ability, 5) transformational leadership, 6) learning exchange ability and 7) moral and ethics. 2. The indicators of instructional leadership of teachers in educational opportunity expansion schools comprised seven principal components, 25 sub-components and 98 indicators. All principal components achieved the mean scores at high level of appropriateness 3. The indicator structural model of instructional leadership of teachers in educational opportunity expansion schools was congruent with empirical data. (Chi-Square=202.84, df=176, p=0.08095, GFI=0.97, AGFI =0.95, RMSEA=0.016, CN=668.53) and 4. The user manual of the instructional leadership of teacher indicators in educational opportunity expansion schools under the Primary Educational Service Area Offices in four aspects obtained the Index of item-objective congruence (IOC) at 1.00 indicated that the user manual was appropriated to be implemented.
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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 | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 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".