Perencanaan Pembelajaran dan Pengaruhnya Terhadap Kompetensi Guru Pendidikan Agama Hindu
Bibliographic record
Abstract
Perencanaan pembelajaran merupakan seperangkat rencana dan pengaturan kegiatan pembelajaran, yang berisi tujuan, materi, sarana dan prasarana pembelajaran, pendekatan, strategi serta evaluasi hasil dan proses pembelajaran dijadikan pedoman dalam pembelajaran dalam usaha pencapaian tujuan pembelajaran. Perencanaan pembelajaran dapat memberikan manfaat antara lain memudahkan pembuatan persiapan pembelajaran dan memudahkan pengembangan pembelajaran yang aktif, kreatif, efektif dan menyenangkan sehingga akan meningkatkan kompetensi guru. Tujuan penelitian ini untuk menganalisis bagaimana implementasi perencanaan pembelajaran berpengaruh terhadap kompetensi guru pendidikan agama Hindu. Penelitian ini menggunakan pendekatan penelitian kualitatif dengan jenis penelitian kepustakaan (Library Research). Hasil penelitian menunjukan Perencanaan pembelajaran sangat penting bagi berjalannya pembelajaran karena sebagai pedoman bagi guru dalam melaksanakan pembelajaran, karena dengan perencanaan pembelajaran yang baik akan membuat pelaksanaan pembelajaran berjalan baik yang akan berdampak meningkatnya empat kompetensi guru meliputi kompetensi pedagogik, kompetensi kepribadian, kompetensi sosial dan kompetensi professional.
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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 | 0.003 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.004 | 0.002 |
| Scholarly communication | 0.009 | 0.005 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.047 | 0.011 |
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".