PENGEMBANGAN VIDEO PERMAINAN TEMATIK TEMA DIRIKU SUBTEMA AKU MERAWAT TUBUHKU
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Penelitian ini adalah penelitian pengembangan video menggunakan model ADDIE yang mencakup lima langkah, yaitu: (1) analisis (analyze), (2) perancangan (design), (3) pengembangan (development), (4) implementasi (implementation), dan (5) evaluasi (evaluation). Subjek uji coba dalam penelitian ini adalah peserta didik kelas I Sekolah Dasar di Kecamatan Buleleng pada tahun ajaran 2022/2023 dimana SD di Kecamatan buleleng terdiri dari 19 sekolah yang terbagi dalam 9 gugus.. Uji coba produk terdiri atas (1) Desain Uji Coba, (2) Subjek Uji Coba, (3) Jenis data (4) Tahap Review Para Ahli, (5) Instrument Pengumpulan Data, (6) Teknik Analisis Data. Data dikumpulkan melalui teknik observasi, wawancara, dan pemberian angket (kuestioner). Penelitian ini menunjukkan bahwa video permainan pendidikan jasmani olahraga dan kesehatan berbasis tematik tema diriku (Subtema Aku Merawat Tubuhku) untuk peserta didik kelas I Sekolah Dasar layak digunakan sebagai media pembelajaran di Sekolah Dasar dengan persentase ahli desain pembelajaran (75%), ahli media pembelajaran (100%), dan praktisi lapangan (94,4%0. Jadi dapat disimpulkan bahwa video permainan pendidikan jasmani olahraga dan kesehatan berbasis tematik tema diriku layak digunakan sebagai salah satu media pembelajaran. Kata Kunci : Video, Video Pembelajaran Tematik,Permainan Tematik.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.013 | 0.006 |
| Meta-epidemiology (narrow) | 0.002 | 0.002 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.002 | 0.006 |
| Science and technology studies | 0.005 | 0.002 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.004 | 0.001 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.005 | 0.009 |
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 it