Penerapan Model Supervisi SUKSES-ME untuk Membangun Penguatan Pendidikan Karakter di Sekolah
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
Hasil deskripsi pengembangan Penguatan Pendidikan Karakter (PPK) di sekolah binaan sebelum implementasi model Supervisi Klinis-Kolaborasi, Penilaian Sendiri-Sejawat, Monitoring, dan Evaluasi (SUKSES-ME) menunjukkan bahwa, pengembangan PPK berbasis kelas pada Silabus dan RPP, PPK berbasis budaya pada kegiatan non kurikuler; membersihkan lingkungan sekolah, upacara bendera, menyanyikan lagu nasional/daerah, membaca buku bersama baru, dan bakti sosial serta pengembangan PPK pada proses pembelajaran masih belum optimum. Penelitian ini bertujuan untuk menerapkan model supervisi kreatif yaitu model SUKSES-ME untuk meningkatkan PPK di Sekolah Menengah Atas (SMA). Metode penelitian yang digunakan adalah penelitian deskriptif menggunakan uji t, untuk melihat PPK sebelum dan sesudah implementasi model SUKSES-ME di SMAS Nugraha Bandung. Hasil penelitian menunjukkan bahwa penerapan model SUKSES-ME dapat meningkatkan PPK di SMAS Nugraha Bandung, baik pada struktur kurikulum (silabus dan RPP), pengembangan PPK berbasis budaya sekolah, dan pengembangan PPK pada proses pembelajaran. Peningkatan tersebut signifikan dengan nilai p < 0.05. Kesimpulan dari penelitian, supaya penerapan model SUKSES-ME ini optimal, maka harus dilakukan secara berkelanjutan dan berkesinambungan mulai siswa masuk sampai lulus sekolah
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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) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.011 | 0.004 |
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