Single Subject Research: Implementasi Pembelajaran Problem Posing terhadap Kemampuan Berpikir Kreatif Siswa Field Dependent
Bibliographic record
Abstract
Penelitian ini bertujuan untuk menganalisis proses dan mendeskripsikan hasil perlakukan pembelajaran problem posing terhadap kemampuan berpikir kreatif siswa field dependent pada materi statistika. Penelitian ini termasuk dalam penelitian Single Subject Research (SSR) A-B dengan pendekatan kuantitatif. Penelitian didesain selama 8 sesi dengan 4 sesi awal tahap baseline dan 4 sesi terakhit tahap intervensi (pembelajaran problem posing). Subjek penelitian dipilih dengan teknik purposive sampling. Pengumpulan data menggunakan GEFT, tes pengajuan masalah (TPM), observasi, dan wawancara. Data penelitian dianalisis dengan 2 cara, yaitu analisis dalam kondisi dan antar kondisi. Hasil penelitian menunjukkan bahwa siswa dengan gaya kognitif field dependent dapat mengajukan permasalahan pada materi statistika dengan menggunakan model pembelajaran problem posing. Hasil evaluasi sebelum dan sesudah perlakuan menunjukkan peningkatan pada komponen berpikir kreatif kefasihan dan kebaruan, sehingga perlakuan yang diberikan dapat meningkatkan kemampuan berpikir kreatif matematis siswa field dependent. Walaupun demikian, pada komponen kreatifitas kebaruan belum dapat ditingkatkan.
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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 | 0.076 | 0.099 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.002 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.003 | 0.003 |
| Scholarly communication | 0.006 | 0.004 |
| Open science | 0.003 | 0.004 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.031 | 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; 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".