PENGEMBANGAN BAHAN AJAR MODUL IPA DI SEKOLAH DASAR BERBASIS HOTS DENGAN PENDEKATAN TPACK PADA MATERI SISTEM PEREDARAN DARAH
Bibliographic record
Abstract
Pembelajaran IPA merupakan mata pelajaran yang krusial dalam kehidupan sehari-hari sehingga memerlukan bantuan media agar peserta didik memahami konsep dengan baik terutama pada materi sistem peredaran darah. Adapaun yang menjadi tujuan penelitian ini yaitu untuk mengetahui proses pengembangan modul, mengetahui kelayakan modul serta mengetahui respon peserta didik setelah menggunakan bahan ajar modul berbasis HOTS dengan Pendekatan TPACK pada mata pelajaran IPA peserta didik kelas V. Metode penelitian yang digunakan ini mengacu pada desain penelitian Borg & Gall yang diadaptasi oleh Sugiyono. Penelitian ini melalui enam tahapan yaitu 1) potensi dan masalah, 2) pengumpulan data, 3) desain produk, 4) validasi desain, 5) revisi desain, 6) uji coba produk. Melalui tahap validasi diperoleh hasil tingkat kelayakan dari segi materi sebesar 85,5% dan masuk kategori “sangat layak”, dari segi desain media sebesar 81,5% dan masuk kategori “sangat layak”, serta dari segi bahasa sebesar 91% dan masuk kategori “sangat layak”. Kemudian setelah dilakukan revisi media sesuai dengan saran perbaikan validator, peneliti melakukan uji coba produk kepada peserta didik kelas V sebanyak 20 peserta didik dengan hasil 91,3% dengan kategori “sangat baik”.
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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 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.005 | 0.004 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.031 | 0.010 |
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".