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Record W2995585690 · doi:10.24036/sikola.v1i1.3

Penerapan Model Pmbelajaran Think Pair Share Untuk Meningkatkan Motivasi Belajar Sosiologi Siswa Kelas XI IPS SMA N 2 Batang Anai

2019· article· id· W2995585690 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 Sikola Jurnal Kajian Pendidikan dan Pembelajaran · 2019
Typearticle
Languageid
FieldSocial Sciences
TopicEducational Curriculum and Learning Methods
Canadian institutionsEncana (Canada)
Fundersnot available
KeywordsPhysicsHumanitiesPsychologyArt

Abstract

fetched live from OpenAlex

Penelitian ini dilatarbelakangi oleh rendahnya motivasi belajar siswa di SMA Negeri 2 Batang Anai khususnya pada kelas XI IPS 2. Berdasarkan hal tersebut upaya yang cocok untuk meningkatkan motivasi belajar siswa dengan adanya rancangan pembelajaran yang tepat, yaitu dengan menggunakan model Think Pair Share. Tujuan penelitian ini adalah mendiskripsikan penerapan model pembelajaran Think Pair Share dalam meningkatkan motivasi belajar kelas XI IPS SMA Negeri 2 Batang Anai. Penelitian ini merupakan penelitian tindakan kelas yang dilaksanakan dengan dua siklus. Siklus pertama dilakukan dua kali pertemuan dan siklus kedua dilakukan dua kali pertemuan. Setiap siklus terdiri dari 4 tahap kegiatan yaitu perencanaan, tindakan, pengamatan dan refleksi. Subjek penelitian adalah siswa kelas XI IPS 2 SMA Negeri 2 Batang Anai yang berjumlah 32 orang. Pada penelitian ini peneliti menetapkan batasan keberhasilan pemahaman kosep siswa pada kategori baik level tengah yaitu 70%. Hasil penelitian menunjukkan bahwa Penerapan Model Pembelajaran Think Pair Share dapat meningkatkan Motivasi Belajar Sosiologi siswa kelas XI IPS 2 SMA Negeri 2 Batang Anai tahun ajaran 2019/2020 yang dibuktikan dengan adanya peningkatan persentase skor Observasi Motivasi Belajar sosiologi dilakukan tindakan pada siklus I skor rata-rata mengalami peningkatan sebesar 12,3% menjadi 41,98%. Peningkatan juga terjadi pada siklus I ke siklus II yaitu sebesar 34,64 % menjadi 76,62 % pada siklus II.

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)0.007
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Scholarly communication, Open science, 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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.251
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0070.001
Meta-epidemiology (narrow)0.0030.003
Meta-epidemiology (broad)0.0030.002
Bibliometrics0.0010.003
Science and technology studies0.0050.002
Scholarly communication0.0020.003
Open science0.0060.001
Research integrity0.0020.007
Insufficient payload (model declined to judge)0.0080.003

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 head0.033
GPT teacher head0.317
Teacher spread0.284 · 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