PENINGKATAN KEMAMPUAN GURU DALAM PEMBELAJARAN MELALUI SUPERVISI KLINIS PENGAWAS UPAYA PENINGKATAN CAPAIAN MUTU SEKOLAH DI TK BINAAN
Bibliographic record
Abstract
Penelitian tindakan ini dimaksudkan untuk peningkatan capaian mutu sekolah melalui supervisi klinis yang dilakukan oleh pengawas kepada guru dalam lingkup binaannya. Objek penelitian sebanyak 15 guru di TK binaan wilayah kecamatan sukodadi kabupaten Lamongan pada tahun pelajaran 2017-2018. Hasil penelitian menunjukkan bahwa 1) pembinaan Pengawas dalam upaya meningkatkan kemampuan guru TK melalui Supervisi klinis pengawas menunjukkan peningkatan pada tiap siklus; 2) aktivitas dalam kegiatan pembinaan menunjukkan bahwa seluruh guru dapat meningkatkan kinerjanya dengan baik dalam setiap aspek; 3) peningkatan kemampuan guru TK oleh Pengawas melalui Supervisi klinis pengawas ini menunjukkan peningkatan pada tiap siklusnya; 4) aktivitas pengawas menunjukkan bahwa kegiatan pembinaan melalui melalui Supervisi klinis pengawas bermanfaat dan dapat membantu guru TK untuk lebih mudah memahami konsep peran dan fungsi guru sehingga kemampuan guru TK dapat meningkat. Keyword: Kemampuan guru, Supervisi klinis, Peningkatan capaian mutu
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.
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 | 0.003 |
| 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 | 0.004 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.032 | 0.007 |
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".