Perencanaan Dan Asesmen Perkembangan Pada Anak Usia Dini (Studi Kasus Pada Lembaga Pendidikan Anak Usia Dini Paud TK/RA) Di Kecamatan Labuhan Haji
Bibliographic record
Abstract
Tujuan penelitian ini adalah untuk mengungkap bagaimana guru-guru dilembaga pendidikan anak usia dini (PAUD/TK/RA) melakukan perencanaan asesmen perkembangan untuk menilai proses belajar peserta didiknya, serta untuk mengetahui hambatan yang dihadapi mereka dalam melakukan proses asesmen. Metode yang digunakan adalah survei, yaitu dengan mencari informasi tentang implementasi perencanaan dan proses asesmen perkembangan anak yang dilakukan oleh pendidik di 5 lembaga pendidikan anak usia dini (RA) di Kecamatan Labuhan Haji. Kesimpulan dari penelitian ini adalah bahwa dalam melakukan perencanaan evaluasi seluruh guru telah mengacu pada standar tingkat pencapaian perkembangan anak (STPPA). Adapun teknik asesmen yang paling banyak digunakan adalah metode observasi dan portofolio tampilan anak dikarenakan sifatnya yang sederhana, mudah dilaksanakan, namun mampu memberikan gambaran umum perkembangan pada diri anak.
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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 | 0.005 | 0.009 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.006 | 0.003 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.028 | 0.006 |
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".