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Record W3212766845 · doi:10.37081/mathedu.v4i3.3142

PENERAPAN MODEL PEMBELAJARAN THINK PAIR SHARE DALAM UPAYA PENINGKATAN HASIL BELAJAR DAN AKTIVITAS SISWA PADA MATERI PERSAMAAN LINIER SATU VARIABEL

2021· article· id· W3212766845 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueJURNAL MathEdu (Mathematic Education Journal) · 2021
Typearticle
Languageid
FieldComputer Science
TopicEducational Methods and Media Use
Canadian institutionsEncana (Canada)
Fundersnot available
KeywordsHumanitiesPhysicsPsychologyMathematics educationArt

Abstract

fetched live from OpenAlex

Penelitian ini merupakan Penelitian Tindakan Kelas. Dalam penelitian ini disusun perangkat pembelajaran : Rencana Pelaksanaan Pembelajaran, Buku Panduan Guru dan Lembar Kerja Siswa. Selanjutnya menyusun instrumen tes essay dan lembar observasi siswa, sebelum instrumen tes digunakan terlebih dahulu di uji coba dan hasilnya digunakan untuk instrumen penelitian. Penelitian ini dilaksanakan melalui 2 siklus sebelum diberikan tindakan terlebih dahulu diberikan diberikan tes diagnostik dengan kategori minimal cukup diperoleh 40,91%. Selanjutnya diberikan tes hasil belajar matematika siklus I adalah 77,27 meningkat menjadi 86,36 pada siklus II. Persentase akivitas aktif siswa meningkat,hal ini diperoleh dari rata-rata kadar aktivitas siswa pada siklus I sebesar 76% kemudian pada siklus II naik menjadi 85,28. Kemampuan guru mengelola pembelajaran siklus I dan siklus II termasuk dalam kategori ―Baik‖. Berdasarkan Hasil tersebut maka penelitian ini menyarankan penerapan model pembelajaran Think Pair Share untuk meningkatkan hasil belajar matematika siswa dikelas VII-3 SMP Negeri 2 Batahan.

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.

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)0.005
metaresearch head score (Gemma)0.004
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)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.524
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0050.004
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0010.001
Science and technology studies0.0020.000
Scholarly communication0.0040.003
Open science0.0040.001
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0010.000

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 head0.043
GPT teacher head0.320
Teacher spread0.277 · 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