MétaCan
Menu
Back to cohort
Record W7014359571

PENINGKATAN KEMAMPUAN KONEKSI MATEMATIS
\n DAN HABITS OF MIND SISWA SMK MELALUI
\nPEMBELAJARAN INKUIRI MODEL ALBERTA

2018· dissertation· id· W7014359571 on OpenAlexaboutno aff

Bibliographic record

VenueUniversitas Pasundan institutional repositories & scientific journals (Universitas Pasundan) · 2018
Typedissertation
Languageid
FieldMathematics
TopicMathematics Education and Pedagogy
Canadian institutionsnot available
Fundersnot available
Keywordsnot available
DOInot available

Abstract

fetched live from OpenAlex

Masalah yang melatarbelakangi penelitian ini diantaranya adalah kemampuan \nkoneksi matematis dan habits of mind siswa masih rendah. Tujuan dari penelitian \nini adalah: 1) Untuk mengetahui peningkatan kemampuan koneksi matematis \nsiswa yang memperoleh pembelajaran Inkuiri Model Alberta lebih tinggi daripada \nsiswa yang memperoleh model Problem Based Learning; 2) Untuk mengetahui \nHabits Of Mind siswa yang memperoleh pembelajaran Inkuiri Model Alberta \nlebih baik daripada siswa yang memperoleh model Problem Based Learning; 3) \nMengetahui efektivitas pembelajaran Inkuiri Model Alberta untuk kemampuan \nkoneksi matematis. Metode penelitian yang digunakan adalah metode kuasi \neksperimen dengan desain pretes dan postes. Populasi dalam penelitian ini adalah \nsiswa kelas XI SMK Nasional Bandung tahun 2018-2019. Adapun sampel dari \npenelitian ini adalah siswa kelas XI Akomodasi Perkantoran sebagai kelas \neksperimen dan siswa kelas XI Multimedia sebagai kelas kontrol. Instrumen yang \ndigunakan adalah tes kemampuan koneksi matematis dan angket habits of mind. \nAnalisis data menggunakan uji parametrik pada data pretes-postes melalui \nbantuan software SPSS 20.0 for windows dan rumus cohen’s d untuk melihat \nefektivitas. Hasil penelitian menunjukkan bahwa: 1) Peningkatan kemampuan \nkoneksi matematis siswa yang memperoleh pembelajaran Inkuiri Model Alberta \nlebih tinggi daripada yang memperoleh model Problem Based Learning; 2) Habits \nOf Mind siswa yang memperoleh pembelajaran Inkuiri Model Alberta lebih baik \ndaripada siswa yang memperoleh model Problem Based Learning; 3) Efektivitas \npembelajaran Inkuiri Model Alberta untuk kemampuan koneksi matematis \nmemiliki efektivitas yang berkategori besar. Dengan demikian pembelajaran \nInkuiri Model Alberta dapat dijadikan sebagai alternatif bagi guru dalam \nmelaksanakan pembelajaran di kelas. \nKata Kunci: Pembelajaran Inkuiri Model Alberta, Kemampuan Koneksi \nMatematis, Habits Of Mind.

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 machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.035
Threshold uncertainty score0.118

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0030.003
Open science0.0020.003
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0350.009

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 head0.046
GPT teacher head0.315
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; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
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
Published2018
Admission routes1
Has abstractyes

Explore more

Same venueUniversitas Pasundan institutional repositories & scientific journals (Universitas Pasundan)Same topicMathematics Education and PedagogyFrench-language works237,207