PENGGUNAAN TEKNIK NUMBER HEADS TOGETHER (NHT) DALAM PENGAJARAN MEMBACA PEMELAJAR KELAS X MA 1 ANNUQAYAH PUTRI SUMENEP
Bibliographic record
Abstract
Tesis ini membahas mengenai penggunaan teknik Number Heads Together \n(NHT) yang merupakan bagian dari metode Cooperative Learning, dan teknik \nLecturing dalam rangka meningkatkan kemampuan membaca pemelajar kelas X \nMadrasah Aliyah 1 Annuqayah Putri. Jenis penelitian ini adalah kuasi \neksperimental dengan ancangan pre-test post-test control group dan teknik sampel \npurposive sampling. Pemilihan sampel tidak dilakukan secara acak agar tidak \nmengganggu kegiatan belajar dan mengajar di Sekolah terkait. Data diperoleh dari \nskor pre-test, post-test, kuesioner motivasi membaca, kuesioner persepsi \npemelajar terhadap teknik NHT dan wawancara. Hasil penelitian menunjukkan \nbahwa teknik NHT dan Lecturing sama-sama dapat meningkatkan kemampuan \nmembaca pemelajar, khususnya teks recount secara signifikan namun kelompok \neksperimen lebih unggul. Selisih signifikansi kemampuan membaca pemelajar \ndengan teknik NHT adalah 12,68% dibandingkan dengan kelas Lecturing. Selain \nitu berdasarkan dari hasil kuesioner, teknik NHT terbukti meningkatkan motivasi \nmembaca pemelajar sebesar 14,15% dan penerapan teknik ini juga mendapat \nrespon positif dari mereka. Oleh karena itu, peneliti merekomendasikan \npenggunaan teknik NHT dalam pengajaran membaca pemelajar tingkat MA \nkhususnya kelas X MA 1 Annuqayah Putri Sumenep
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How this classification was reachedexpand
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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.002 | 0.003 |
| Meta-epidemiology (broad) | 0.002 | 0.002 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.003 | 0.001 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.286 | 0.005 |
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; both teacher heads agree on what is shown here.
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".