Life Skills Acquired in Relation to Teaching Methods Used Through Swimming Context
Bibliographic record
Abstract
This study aims: (1) to examine life skills acquired by students attending different levels of swimming courses. (2) To investigate the relation between teaching/learning methods used by swimming teachers and the level of life skills acquired. The population of this study were students who attended one of the three levels of the swimming courses in the Faculty of Physical Education /University of Jordan (n= 236). The sample of the study consisted of 142 students. Both “Life skills through swimming context scale” and “Teaching/ Learning methods in swimming context scale” were used to collect the required data. The data was analyzed using descriptive and statistical analysis. Results showed that the sample acquired the life skills through swimming context on a high level scale. Students believed that communication and self-confidence/self-esteem were the most important skills acquired (86%), followed by teamwork (85%), decision-making/responsibility (84%) and problem-solving (80%). There was a significant relation between life skills acquired and the teaching/ learning methodologies used including brainstorming, demonstration and guided practice, small groups, games and situation analysis. Therefore swimming context using the efficient participatory teaching methods proved to have a positive effect on life skills and youth development.
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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 | 0.000 | 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 | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".