KEEFEKTIFAN MODEL QUANTUM TEACHING DAN MODEL SOMATIC AUDIO VISUAL & INTELEGENCY (SAVI) TERHADAP HASIL BELAJAR IPA SISWA KELAS IV SD SE-KECAMATAN KUTOWINANGUN TAHUN AJARAN 2018/2019
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
<p>Pendidikan pada abad-21 diperlukan pembelajaran yang inovatif, salah satunya dalam bentuk model pembelajaran <em>Quantum Teaching </em>dan <em>Somatic Audio Visual and Intelegency (SAVI)</em>. Tujuan penelitian ini menganalisis efektifitas model pembelajaran <em>Quantum Teaching </em>dan model pembelajaran <em>Somatic Audio Visual and Intelegency (SAVI) </em>terhadap hasil belajar IPA siswa kelas IV SD. Penelitian ini merupakan penelitian eksperimen dengan pendekatan kuantitatif. Populasi penelitian ini adalah seluruh siswa kelas IV SD se-Kecamatan Kutowinangun tahun ajaran 2018/2019. Sampel penelitian dipilih menggunakan metode <em>cluster random sampling</em>. Teknik pengumpulan data menggunakan tes dan observasi. Hasil penelitian ini menunjukkan bahwa nilai <em>effect size </em>kelas <em>Quantum Teaching </em>dan <em>SAVI</em> pada penelitian ini masing-masing 0,533 dan 0,396 yang merupakan nilai <em>effect size</em> sedang. Berdasarkan hasil penelitian tersebut dapat disimpulkan bahwa model <em>Quantum Teaching </em>lebih efektif dibandingkan model <em>SAVI</em> dalam meningkatkan hasil belajar IPA siswa kelas IV Sekolah Dasar se-Kecamatan Kutowinangun tahun ajaran 2018/2019. Model pembelajaran <em>Quantum Teaching </em>lebih sesuai untuk pembelajaran yang berkaitan dengan lingkungan alam sekitar dibandingkan model pemelajaran <em>SAVI.</em></p>
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 | 0.003 | 0.001 |
| Meta-epidemiology (narrow) | 0.002 | 0.002 |
| Meta-epidemiology (broad) | 0.003 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.002 | 0.003 |
| Open science | 0.005 | 0.002 |
| Research integrity | 0.001 | 0.005 |
| Insufficient payload (model declined to judge) | 0.000 | 0.001 |
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