The Effect of Using Video on Developing Physical Fitness of Physical Education Students at the Hashemite University
Bibliographic record
Abstract
The purpose of this study was to determine the effect of video on developing physical fitness to physical education students at the Hashemite University. The study sample consisted of (20) Physical education students They were divided into two groups, the control group (10) students went through traditional physical practice method, and the experimental group (10) students went through physical practice using video, Pre and post-tests were carried out to measure student’s development in physical fitness (Vertical jump from stability, Throwing and receiving the ball, Trunk bending forward from standing, Zigzag running, Throwing a ball to the farthest distance and 25m running). Statistical analysis included t-Test for mean at pre and post test for the two groups, and t-Test for mean at post test in the two groups. The results showed significant differences (p < 0.05) in post test between the two groups in favor of the experimental group, it is concluded that using video improved physical fitness level more than the traditional method. The researchers recommended using video to developing physical fitness.
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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 | 0.000 | 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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".