Penerapan Metode Inkuiri Model Alberta Untuk Meningkatkan Pemahaman Konsep Matematis Peserta Didik
Bibliographic record
Abstract
Latar belakang dari penelitian ini adalah rendahnya pemahaman konsep matematis peserta didik. Terdapat desain pembelajaran yang dapat meningkatkan kemampuan tersebut, yakni metode inkuiri model Alberta. Tujuan pertama pada penelitian ini adalah meninvestigasi keberadaan peningkatan kemampuan pemahaman konsep matematis peserta didik. Tujuan kedua adalah membandingkan peningkatan kemampuan pemahaman konsep matematis kelas kontrol dan eksperimen. Tujuan ketiga adalah untuk mengetahui respon peserta didik terhadap metode inkuiri model alberta. Metode penelitian yang digunakan adalah kuasi eksperimen dengan desain The Non-equivalent Pretest and Posttest Control Group Design . Penelitian dilakukan di salah satu SMP swasta di Kota Bandung. Instrumen penelitian yang digunakan adalah tes kemampuan pemahaman konsep matematis, kuisioner, dan lembar observasi. Berdasarkan analisis data, hasil penelitian ini adalah terdapat peningkatan kemampuan pemahaman konsep matematis di kelas eksperimen, peningkatan di kelas eksperimen lebih baik dibanding kelas kontrol, dan peserta didik memberi respon positif terhadap metode inkuiri model Alberta.
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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 | 0.004 | 0.006 |
| Meta-epidemiology (narrow) | 0.002 | 0.002 |
| Meta-epidemiology (broad) | 0.003 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.003 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.021 | 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; 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".