KEMAMPUAN GURU DALAM PEMBELAJARAN PENDIDIKAN KEWARGANEGARAAN DI SMP NEGERI KOORDINATOR WILAYAH SLEMAN TENGAH
Bibliographic record
Abstract
Tujuan penelitian adalah mendeskripsikan: (1) kemampuan guru Pendidikan Kewarganegaraan di SMP Negeri Koordinator Wilayah Sleman Tengah dalam melaksanakan pembelajaran (2) faktor penghambat dan pendukung guru Pendidikan Kewarganegaraan di SMP Negeri Koordinator Wilayah Sleman Tengah dalam melaksanakan pembelajaran secara profesional. Metode penelitian mengguna-kan jenis penelitian kualitatif. Subjek penelitian guru Pendidikan Kewarganegaraan 5, Kepala Sekolah 3, guru mata pelajaran lain 9, siswa 6 serta pengawas 1. Teknik pengumpulan data: pengamatan parti-sipasi, wawancara mendalam, dan dokumentasi. Analisis data menggunakan model kualitatif-interaktif. Hasil penelitian: (1) kemampuan guru Pendidikan Kewarganegaraan di SMP Negeri Koor-dinator Wilayah Sleman Tengah dalam pembelajaran kurang. Penyusunan RPP belum serius. Pelaksa-naan pembelajaran didasarkan kebiasaan guru mengajar. Guru belum berperan sebagai pendidik, inovator, dan teladan. Penilaian berbentuk ulangan harian, ujian mid semester dan ujian semesteran, belum mengembangkan instrumen penilaian. (2) Hambatan internal terbatasnya wawasan materi PKn, lemahnya motivasi mempelajari bahan ajar, komitmen belum kuat, terbatasnya pengalaman mengikuti forum ilmiah. Hambatan eksternal terbatasnya media pembelajaran di sekolah. Media pembelajaran kurang menarik ditampilkan di kelas. Keterbatan di sekolah adalah sumber bahan ajar.Kata kunci; kemampuan guru, mata pelajaran PKN, pembelajaran
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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 | 0.007 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.006 | 0.004 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.039 | 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".