PEMBELAJARAN BERBASIS PROYEK UNTUK MENINGKATKAN KETERAMPILAN PROSES SAINS DAN BERPIKIR KRITIS SISWA
Bibliographic record
Abstract
Tujuan utama dari kegiatan pengabdian kepada masyarakat ini adalah untuk menjalin kolaborasi antara guru kimia di wilayah Narmada, Kabupaten Lombok Barat dan dosen Magister Pendidikan IPA Universitas Mataram dalam menerapkan pembelajaran berbasis proyek (PjBL) dalam rangka implementasi kurikulum 2013. Dari kolaborasi tersebut diharapkan menghasilkan guru kimia yang terampil dalam menerapkan pembelajaran berbasis proyek (PjBL) untuk meningkatkan keterampilan proses sains dan berpikir kritis siswa di SMA Negeri kelompok MGMP kimia wilayah Narmada Lombok Barat. Kegiatan pengabdian kepada masyarakat ini diharapkan menghasilkan produk berupa skenario pembelajaran berbasis proyek, rencana pelaksanaan pembelajaran (RPP), lembar kegiatan proyek peserta didik (LKPP), dan alat evaluasi pembelajaran. Kegiatan pengabdian kepada masyarakat ini dilaksanakan dengan pendekatan pelatihan, praktik pembelajaran, dan refleksi. Hasil yang diperoleh dari kegiatan tersebut adalah: (1) Pemahaman guru-guru kimia di wilayah tersebut terhadap model pembelajaran berbasis proyek cukup memadai, (2) Guru kimia di wilayah tersebut telah mampu mengembangkan perangkat pembelajaran berbasis proyek berupa RPP, LKPP, dan alat evaluasi pembelajaran, dan (3) Implementasi pembelajaran kimia berbasis proyek akan dilaksanakan pada semester genap tahun pelajaran 2017/2018.
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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) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.023 | 0.004 |
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".