PENERAPAN MODEL PEMBELAJARAN INKUIRI ALBERTA UNTUK MENINGKATKAN KEMAMPUAN BERPIKIR KREATIF MATEMATIS
Bibliographic record
Abstract
Tujuan penelitian ini untuk melihat pengaruh penerapan model Inkuiri Alberta dalam meningkatkan kemampuan berpikir kreatif matematis siswa di SMA. Metode eksperimen dengan desain quasi experimental dijadikan sebagai metode dalam penelitian ini, Sampel dalam penelitian ini dipilih dua kelas yaitu kelas eksperimen dan kelas kontrol. Instrumen penelitian berupa tes tertulis untuk mengukur kemampuan berpikir kreatif matematis dan non tes dalam bentuk observasi untuk mengukur keterlaksanaan pembelajaran model Inkuiri Alberta. Data yang diperoleh selanjutnya diolah dengan teknik statistik uji t. Hasil penelitian ini menunjukkan bahwa terdapat pengaruh yang signifikan terhadap peningkatan yang signifikan kemampuan berpikir kreatif matematis siswa setelah diterapkan model Inkuiri Alberta. Setelah dibandingkan, peningkatan kemampuan berpikir kreatif matematis siswa yang diterapkan model Inkuiri Alberta lebih baik daripada siswa yang diterapkan model pembelajaran konvensional. Pelaksanaan pembelajaran dengan menggunakan model Inkuiri Alberta telah sesuai dengan sintaknya.
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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 | 0.002 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.024 | 0.003 |
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".