Motor Competency of Fundamental Movement Skills Domain of Elementary School Students In Pasangkayu District
Bibliographic record
Abstract
This study aims to analyze the motor competency of the fundamental movement skills (FMS) domain in elementary school students in Pasangkayu Regency. The focus of the study is to provide a clear picture of children's physical abilities in basic movement skills which are an important foundation for the development of sports and physical activities in the future. The study adopted a quantitative approach with a descriptive correlational design. The research location at the Pasangkayu Regency Public Elementary Schools involved 180 male students from 9 schools divided into three regional categories: urban (SDN 02 Pasangkayu, SDN 01 Pasangkayu, MIS DDI Pasangkayu City), coastal (SD Inpres Tanjung Babia, SDN Salunggadue, SD Inpres Malei), and rural (SD Inpres Ako, SDN Bambamone, SDN Salubulu). The instrument used was the Canadian Agility and Movement Skill Assessment (CAMSA) which measures agility, balance, coordination, speed, locomotor skills, and object control. The assessment includes components of time and movement quality with a maximum score of 28 points. Data analysis used descriptive statistics and the Kolmogorov-Smirnov normality test. The results of the descriptive analysis showed that rural areas had the highest average motor competence (Mean=16.72), followed by coastal areas (Mean=15.73), and urban areas (Mean=15.60). The normality test showed that all data were normally distributed (p>0.05). Interpretation of categories showed: urban areas had 66.66% of students in the Beginning category and 33.33% in the Progressing category; rural areas had 58.33% of students in the Beginning category and 41.66% in the Progressing category; coastal areas had 40% of students in the Beginning category and 60% in the Progressing category. No students reached the Achieving and Excelling categories in the three areas. Conclusion Students in rural areas showed better motor competence than urban and coastal areas, but with higher variation in abilities. Most students in Pasangkayu Regency were at the basic fundamental movement skills level, with the coastal area showing the highest percentage of students in the Progressing category (60%). These findings emphasize the importance of more structured intervention programs in physical education and collaboration between schools, parents, and local governments to create an environment that supports children's motor development, considering that environmental factors and access to sports facilities play a significant role in the development of fundamental motor skills.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 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 teacher head, 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".