Evaluasi Tingkat Keterampilan Gerak Dasar Siswa Sekolah Dasar Menggunakan Canadian Agility and Movement Skill Assessment (CAMSA) Score
Bibliographic record
Abstract
Penelitian ini bertujuan untuk mengevaluasi tingkat keterampilan gerak dasar siswa sekolah dasar menggunakan Canadian Agility and Movement Skill Assessment (CAMSA) Score. Penelitian ini melibatkan 51 siswa kelas V di SDN 29 Mataram yang dipilih dengan metode total sampling. Hasil penelitian menunjukkan bahwa sebagian besar siswa berada pada kategori progressing (45,10%), diikuti oleh kategori beginning (25,50%), achieving (19,60%), dan excelling (9,80%). Secara keseluruhan, siswa menunjukkan tingkat keterampilan gerak dasar yang cukup baik, meskipun terdapat perbedaan antara siswa laki-laki dan perempuan, dengan siswa laki-laki memiliki skor rata-rata lebih tinggi. Penelitian ini juga mengungkapkan bahwa usia 11 tahun memiliki keterampilan yang lebih baik dibandingkan dengan usia 10 tahun. Temuan ini menyoroti pentingnya pengembangan keterampilan gerak dasar pada usia sekolah dasar yang mendukung perkembangan fisik dan psikologis siswa. Rekomendasi untuk penelitian lanjutan adalah untuk mengeksplorasi faktor-faktor yang memengaruhi perbedaan keterampilan gerak dasar, seperti motivasi, dukungan keluarga, dan aktivitas fisik di luar sekolah. Evaluation of Fundamental Movement Skills in Elementary School Students Using the Canadian Agility and Movement Skill Assessment (CAMSA) Score Abstract This study aims to evaluate the fundamental movement skills of elementary school students using the Canadian Agility and Movement Skill Assessment (CAMSA) Score. The study involved 51 fifth-grade students from SDN 29 Mataram, selected through total sampling. The results indicate that the majority of students were classified into the progressing category (45.10%), followed by the beginning category (25.50%), achieving category (19.60%), and excelling category (9.80%). Overall, students demonstrated a reasonable level of fundamental movement skills, with differences observed between boys and girls, as boys had higher average scores. The study also revealed that 11-year-olds had better movement skills compared to 10-year-olds. These findings emphasize the importance of developing fundamental movement skills during elementary school, supporting physical and psychological development. Future research is recommended to explore the factors influencing differences in fundamental movement skills, such as motivation, family support, and physical activity outside of school.
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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 | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.011 | 0.002 |
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".