The Reality of Educational Supervisors ’Practices for Supervisory Activities from the Point of View of the Public Schools Principals in Aqaba City- Jordan
Bibliographic record
Abstract
The study aimed at defining the reality of the supervisory activities for the educational supervisors from the point of view of the public schools principals in Aqaba city - Jordan. To achieve the study purposes the researcher used the descriptive methodology survey due to its appropriateness for the purposes of the study. The study instrument was built and it contained four domains and was applied on the study sample which consisted of (22) principal(male &Female).The study results indicated that the reality of the educational supervisors practices for supervisory activities from the point of view of the public schools principals obtained an overall arithmetic mean of (3.80) with a high degree. However, on the secondary areas level the human relationships was ranked first with an arithmetic mean of (4.11) which was very high; in the second rank came the field of curriculum and text books with arithmetic mean of(3.98) which was high also; the third rank came the domain of learning and teaching with an arithmetic mean of (3.75) which was also high and in the last rank came the domain of school administration with an arithmetic mean of (3.5) which was medium. The results of the study indicated that there are no differences between the means of the educational supervisors’ practices for supervisory activities in terms of (sex, qualifications, management experience years). In the light of the study results a number of recommendations were proposed.
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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 | 0.002 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".