The Extent to Which Teachers of Arabic Language in Al-Hisa Educational Directorate of Schools of Jordan Acquire E-Learning Competencies
Bibliographic record
Abstract
This study aimed at recognizing the degree of availability for the e-teaching competencies shown by the Arabic language teachers at the district of Alhisa, in the light of the study variables: gender, School Stage and Experience. To accomplish the goals of the study the researchers prepared a questionnaire composed of 69 items that are distributed over four dimensions. After confidence being inspected and verified by specialists the questionnaire was distributed over the sample of the study (in this case it was the population) which was composed of 21 male and 30 female Arabic language teachers. The results indicated that all sample members obtained e teaching competencies by medium level. The results also indicated statistically significant differences among the sample members attributed to the gender to the favor of female teachers, while there were no statistically significant differences attributed to the school stage. There were statistically significant differences among sample members attributed to the experience to the favor of male teachers who have experience 1-5 years.
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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 | 0.001 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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".