Pelatihan Pembelajaran Mendalam (Deeep Learning) dalam Meningkatkan Kompetensi Kepala Sekolah di Kabupaten Aceh Barat
Bibliographic record
Abstract
Pelatihan pembelajaran mendalam bagi kepala sekolah di Kabupaten Aceh Barat bertujuan untuk meningkatkan kompetensi kepala sekolah dan kepemimpinan pendidikan dalam menghadapi tantangan abad ke-21. Kegiatan ini dilatarbelakangi oleh pentingnya pemahaman kepala sekolah terhadap pendekatan pembelajaran mendalam sebagai strategi pembelajaran yang berfokus pada pengembangan dimensi profil lulusan, prinsip, pengalaman belajar dan kerangka pembelajaran mendalam. Pelatihan diselenggarakan oleh Balai Guru Penggerak Provinsi Aceh bekerja sama dengan Dinas Pendidikan dan Kebudayaan Kabupaten Aceh Barat, Cabang Dinas Pendidikan Wilayah Kabupaten Aceh Barat dan STAIN Teungku Dirundeng Meulaboh, melibatkan 32 kepala sekolah dari berbagai jenjang. Metode pelatihan menggunakan pendekatan partisipatif dengan kombinasi sesi sinkronus, asinkronus, refleksi, penugasan mandiri, serta unggah lembar kerja melalui LMS Ruang GTK. Evaluasi dilakukan melalui pretest, postest, kehadiran, keterlibatan aktif, serta kualitas tugas peserta. Hasilnya menunjukkan peningkatan signifikan dalam pemahaman dan kemampuan peserta, serta keberhasilan pelatihan sebagai fondasi menuju transformasi pembelajaran di sekolah
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.039 | 0.008 |
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".