Meningkatkan Kemampuan Siswa Dalam Membaca Melalaui Model Pembelajaran Kontekstual Di Kelas 1 SDN 028 Tanjung Permai Kecamatan Kampar Kiri Hulu Kabupaten Kampar
Bibliographic record
Abstract
Penelitian ini membahas tentang peningkatan kemampuan siswa dalam membaca melalui model pembelajaran kontekstual di kelas 1 SDN 028 tanjung permai kecamatan Kampar kiri hulu kabupaten kampar. Penelitian ini menggunakan Penelitian Tindakan Kelas (PTK), tindakan penelitian menggunakan II siklus, setiap siklus 3 kali pertemuan. Pada setiap siklus terdiri dari perencanaan, pelaksanaan, pengamatan, dan refleksi. Subjek penelitian yaitu siswa kelas 1. Objek penelitian yaitu Pelajaran Bahasa Indonesia dengan menggunakan materi yang diajarkan dengan situasi dunia nyata. Data diperoleh dari lembar observasi dan tes tertulis. Hasil penelitian pada setiap siklus dengan menggunakan model pembelajaran kontekstual yang telah mengalami peningkatan, hal ini terbukti dengan nilai persentase yang didapat pada pra siklus 40%, siklus I 72% dan pada siklus II 84%. Dengan nilai rata-rata diatas dapat disimpulkan bahwa penggunaan model pembelajaran konstektual dalam meningkatakan hasil belajar dapat dikatakan berhasil.
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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.037 | 0.006 |
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".