Impact of training program regarding first aid knowledge and practices among preparatory schools' teachers at Assiut City
Bibliographic record
Abstract
Teachers and children spend considerable time together within the school environment. Schools are places where one can find a noticeable risk of traumatic injuries. The study aimed to evaluate the impact of training program regarding first aid knowledge and practices among preparatory schools' teachers. Subjects and methods: Quasi-experimental study with one group pre/post test research design was used. Multistage random sample used to select the five preparatory schools and the participated teachers which included 150 teachers. A structured self-administered questionnaire included two tools: Tool I: Part I: Demographic data. Part II: Assessment of knowledge about first aid and Tool II included observational checklist about first aid. The findings of the study revealed that Mean ± SD of teachers' age were 38.78 ± 8.83, 26.7% of the teacher attended training program about first aid, there was statistical significant differences between total score of teachers' knowledge (p-value = .000) in pre and immediate post-test. There was statistical significant differences between the performance level of preparatory schools teachers (p-value = .000*). The study concluded that: there was improvement of teachers’ knowledge and practices regarding first aid after implementation of the training program. The study recommended that: Continuous educational and training programs for teachers and public as a whole about first aid.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 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".