Bahan ajar berbasis keunggulan lokal untuk meningkatkan kemampuan berpikir kreatif
Bibliographic record
Abstract
Tujuan penelitian ini adalah menghasilkan bahan ajar matematika berbasis keunggulan local Yogyakarta yang berkualitas untuk meningkatkan kemampuan berpikir kreatif matematis siswa. Keunggulan local Yogyakarta dipilih karena keuggulan localnya yang beragam. Bahan ajar yang dikembangkan terdiri dari Buku Siswa dan Buku Guru. Rancangan penelitian menggunakan 4 tahapan pada model Plomp, yaitu prelimenary investigation; design; realization/construction; test, serta evaluation and revision. Penentuan kualitas bahan ajar menggunakan aspek valid, praktis, dan efektif. Data kuantitatif kevalidan dan kepraktisan diperoleh dengan teknik angket yang selanjutnya dikonversi menjadi data kualitatif. Data keefektifan diperoleh dengan teknik tes. Dari hasil penelitian, diperoleh bahwa kedua bahan ajar produk penelitian termasuk dalam kriteria sangat valid menurut ahli, serta sangat praktis menurut guru, serta efektif untuk meningkatkan kemampuan berpikit kreatif matematis. Khusus untuk Buku Siswa, termasuk dalam kriteria praktis dengan sebanyak 56% siswa memberikan respon positif. Oleh karena itu, disimpulkan bahwa bahan ajar matematika berbasis keunggulan local Yogyakarta dinyatakan dapat meningkatkan kemampuan berpikir kreatif matematis siswa. The aim of this research was to create mathematics teaching materials base on local privilage in Yogyakarta which has good quality to improve students' mathematical creative thinking skills. The teaching materials consisted of Student Book and Teacher Book. The research design used 4 stages in the Plomp model, ie prelimenary investigation; design; realization/construction; test; evaluation and revision. Quality judgement of teaching materials used valid, practical, and effective aspects. Quantitative data for validity and practicality were obtained by questionnaire techniques which further transformed became qualitative data. Effectivity data was obtained by test technique. From the results of research, it was found that the two teaching materials of research products included in the very valid criteria according to expert, and very practical criteria according teacher, as well as effective to increase creative thinking skills. Especially for Student Book, included in the practical criteria with 56% of students gave positive response. It was concluded that the mathematics teaching materials base on the local privilage in Yogyakarta can used to improve students' mathematical creative thinking skills.
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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 | 0.003 | 0.006 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.006 | 0.003 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.029 | 0.007 |
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".