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Record W2936889248 · doi:10.31605/saintifik.v3i1.111

Pengembangan Perangkat Pembelajaran Matematika Dengan Pendekatan Realistik dalam Model Pembelajaran Berbasis Masalah untuk Siswa Kelas VII SMP

2017· article· id· W2936889248 on OpenAlexaff
Nenny Indrawati

Bibliographic record

VenueSAINTIFIK · 2017
Typearticle
Languageid
FieldMathematics
TopicMathematics Education and Pedagogy
Canadian institutionsEncana (Canada)
Fundersnot available
KeywordsMathematics educationMathematicsHumanitiesPsychologyPhilosophy

Abstract

fetched live from OpenAlex

Penelitian ini adalah penelitian pengembangan dengan ujicoba terbatas yangbertujuan untuk mengembangkan perangkat pembelajaran dengan pendekatan realistik dalammodel pembelajaran berbasis masalah yang meliputi Buku Siswa, Lembar Kegiatan Siswa, danRencana Pelaksanaan Pembelajaran. Subjek penelitian ini adalah siswa kelas VII2 SMP Negeri2 Makassar. Prosedur pengembangan yang digunakan dalam penelitian ini adalah modelThiagarajan atau model 4-D. Perangkat pembelajaran yang dikembangkan, telah divalidasi, danmengalami revisi sebanyak 2 kali sehingga didapatkan hasil yang maksimal dan layak untukdigunakan. Hasil dari ujicoba terbatas menunjukkan bahwa perangkat pembelajaran matematikadengan pendekatan realistik dalam model pembelajaran berbasis masalah bersifat efektif danpraktis, yaitu (1) skor rata-rata siswa pada tes hasil belajar yaitu 70,52 dari skor ideal 100dengan standar deviasi 15,91 dengan siswa yang tuntas belajar sebesar 70,00% atau 28 orang;(2) aktivitas siswa dan aktivitas guru menunjukkan kecenderungan yang positif; (3) pengelolaankegiatan pembelajaran matematika dengan pendekatan kontekstual umumnya terlaksana denganbaik dengan persentase rata-rata keterlaksanaan aspek-aspek sebesar 87,5%; dan (4) umumnyasiswa memberikan respons positif terhadap perangkat pembelajaran yang digunakan denganpersentase sebesar 90,00%.Kata kunci: Pengembangan Perangkat Pembelajaran, Model Pembelajaran Berbasis Masalah,Pendekatan Realistik

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.003
metaresearch head score (Gemma)0.003
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Scholarly communication, Insufficient payload (model declined to judge)
Consensus categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.297
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.003
Meta-epidemiology (narrow)0.0020.002
Meta-epidemiology (broad)0.0030.001
Bibliometrics0.0010.000
Science and technology studies0.0040.001
Scholarly communication0.0030.001
Open science0.0040.001
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0120.004

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.

Opus teacher head0.110
GPT teacher head0.379
Teacher spread0.269 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; both teacher heads agree on what is shown here.

Study designTheoretical or conceptual
Domainnot available
GenreEmpirical

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".

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Citations1
Published2017
Admission routes1
Has abstractyes

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