Primary teachers' first aid management of children’s school day accidents: Video-assisted teaching method versus lecture method
Bibliographic record
Abstract
Background: First aid is the initial care for ill and injured. It helps to urgently manage the health problems of school age children. Therefore, teaching first aids should be compulsory in all schools through advanced methods of teaching strategies. Aim: the current study was conducted to determine the effect of video assisted teaching method versus traditional lecture on primary teachers’ knowledge and skills regarding first aids management of children’s school day accidents. Methods: A Comparative research design was used for this study. Sample: simple random sample of 200 primary school teachers was included. Settings: the study was carried out at four primary schools in Shebin-Elkom town and ELShohadaa town, Menoufia Governorate. Tools: two tools were used for data collection. Tool one: teachers’ knowledge questionnaire: it consisted of two parts. (a) A structured: socio-demographic questionnaire to obtain demographic data of the studied subjects; (b) Structured knowledge questionnaire regarding first aids measures. Tool two: five points Likert-scale structured performance check list was used to assess degree of improvement in primary school teachers’ management skills regarding first aids for children’ school day accidents after utilization of Video-assisted teaching method versus Lecture Method. Results: The study showed a statistical significant improvement in total knowledge score of primary school teachers undergoing video-assisted teaching method regarding first aids of children’ school day accidents (28.68 ± 3.77) compared to teachers undergoing traditional lecture (12.77 ± 5.00). Also, there was statistical significant improvement in management skills of primary school teachers undergoing video-assisted teaching method (28.68 ± 3.77) compared to teachers undergoing traditional lecture. Conclusions: Utilization of video-assisted teaching method was succeeded in achieving significant improvements in the primary school teachers’ knowledge and skills regarding first aid of children’s school day accidents compared to traditional lecture method. Recommendations: importantly utilizing video-assisted teaching strategy in teaching first aid to promote children’s health and improve knowledge and management skills of their caregivers.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".