PENGEMBANGAN DESAIN PELATIHAN UNTUK MENINGKATKAN KOMPETENSI GURU PRODUKTIF BIDANG TEKNOLOGI REKAYASA
Bibliographic record
Abstract
Tujuan dari penelitian ini adalah mendesain pelatihan untuk meningkatkan kompetensi guru dalam mengimplementasikan model pembelajaran teaching factory bagi guru SMK yang mengajar di beberapa SMK Negeri Pusat Keunggulan wilayah Lampung Utara serta meninjau keefektifan desain pelatihan yang dikembangkan. Jenis penelitian menggunakan metode dan pengembangan (R & D) dengan model pengembangan ADDIE.metode triangulasi data, teori dan peneliti juga dipakai dalam penelitian ini Populasi adalah seluruh guru produktif yang mengajar di SMK Negeri 3 Kotabumi dan SMK Negeri 1 Abung Selatan dengan jumlah 60 guru dan sampel untuk uji coba produk hasil pengembangan berjumlah 40 guru. Pengumpulan data dilakukan dengan teknik observasi, survei, dan pretest - posttest. Teknik analisis data dilakukan dengan analisis deskriptif meliputi analisis kelayakan produk, analisis kemenarikan produk dan analisis tingkat kompetensi guru. Hasil penelitian menunjukkan bahwa produk yang dikembangkan layak dan menarik serta dapat meningkatkan kompetensi guru.
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.005 | 0.003 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.026 | 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".