PENERAPAN MODEL PEMBELAJARAN INQUIRY LEARNING UNTUK MENINGKATKAN HASIL BELAJAR SISWA KONSEP SUHU DAN KALOR
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Hasil penelitian ini memaparkan tentang hasil belajar siswa pada topik suhu dan kalor melalui penerapan model pembelajaran inquiry learning. Penelitian ini dilakukan dengan menggunakan metode eksperimen dengan rangcangan one group pretest-posttest design. Penentuan subyek menggunakan teknik random sampling dengan intact group sehingga terpilih siswa kelas XI IPA SMA Negeri 1 Telaga Biru yang berada di Kabupaten Gorontalo. Analisis data dilakukan menggunakan gain-score yang termasuk pada kategori sedang. Hasil penelitian ditemukan bahwa terdapat peningkatan hasil belajar siswa dengan adanya penerapan model inquiry learning pada konsep suhu dan kalor.
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.
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.004 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.002 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.002 | 0.004 |
| Science and technology studies | 0.006 | 0.002 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.003 | 0.001 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.001 | 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 it