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Record W4392524879 · doi:10.33222/jumlahku.v9i2.3159

PENERAPAN MODEL PEMBELAJARAN INKUIRI ALBERTA UNTUK MENINGKATKAN KEMAMPUAN BERPIKIR KREATIF MATEMATIS

2023· article· id· W4392524879 on OpenAlexaboutno aff
Iwan Gunawan, Riska Wulandari, Agung Cahya Gumilar

Bibliographic record

VenueJUMLAHKU Jurnal Matematika Ilmiah STKIP Muhammadiyah Kuningan · 2023
Typearticle
Languageid
FieldMathematics
TopicMathematics Education and Pedagogy
Canadian institutionsnot available
Fundersnot available
KeywordsComputer science

Abstract

fetched live from OpenAlex

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.

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)0.006
metaresearch head score (Gemma)0.003
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Scholarly communication, Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesMeta-epidemiology (narrow), Research integrity, Insufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.586
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0060.003
Meta-epidemiology (narrow)0.0030.003
Meta-epidemiology (broad)0.0050.002
Bibliometrics0.0030.004
Science and technology studies0.0020.001
Scholarly communication0.0020.002
Open science0.0030.001
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0070.015

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 head0.075
GPT teacher head0.349
Teacher spread0.274 · 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 designSimulation or modeling
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".

Quick stats

Citations0
Published2023
Admission routes1
Has abstractyes

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