The Effective of Training Program for the Development of Knowledge about the National Professional Standards among the Teachers of Secondary Vocational Education in Jordan
Bibliographic record
Abstract
This study aimed to investigate the effective of training program for the development of knowledge about the national professional standards among the teachers of secondary vocational education in Jordan. The researcher prepared an accumulated test about the knowledge of national professional standards, include (42) questions spread over seven areas (education philosophy, teaching planning, teaching implementation, students’ learning assessment, teacher self-growth, profession values and ethics, and academic and technological knowledge) and for each area six paragraphs. Study members consist of (67) vocational schools’ teachers at the directorate of education of Irbid first area, at the first term of the 2015/2016 school year, who were selected at the available way, where the single group design was used by implementing the accumulated test backwards (pilot study) on the study members to identify their weaknesses, build the proposed training program according to the results, and then implement this program on the study members for two weeks, and finally implement the accumulated test forward by using the T-test for single group. The study results showed a statistically significant difference at the level (α = 0.05) between the backward and forward arithmetic means of study members performance on the national professional development standards knowledge improvement test as a whole, and for each area due to the proposed training program, which means the existence of effectiveness for the proposed training program in knowledge development about the national professional development standards at the vocational educational teachers, where this effectiveness ranged between (medium) and (very strong).
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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 | 0.003 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".