Bibliographic record
Abstract
Salah satu pelajaran yang dirasa sulit bagi siswa yaitu matematika. Permasalahan penelitian ini adalah bagaimana meningkatkanhasil belajar matematika siswa SDN 2 Mlinjon pada kelas IV materi penyajian data menggunakan Model Pembelajaran TPS. Tujuan penelitian ini untuk meningkatkan hasil belajar siswa serta memperluas wawasan guru dalam melaksanakan proses belajar mengajar dengan model pembelajaran yang bervariasi pada materi matematika. Dari hasil analis didapatkan bahwa pembelajarandengan model TPS dapat meningkatkan hasil belajar matematika siswa Kelas VI semester l SDN 2 Mlinjon tahun ajaran 2016-2017 dengan rata-rata nilai pada siklus I sebesar 68 masih di bawah KKM 70, nilai rata-rata pada siklus II mencapai 80. Untukketuntasan belajar pada siklus I terdapat 9 anak (56,25%) pada siklus II terjadi peningkatan ketuntasan belajar mencapai 16 anak (93,75%)
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 imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.004 | 0.006 |
| Meta-epidemiology (narrow) | 0.002 | 0.002 |
| Meta-epidemiology (broad) | 0.003 | 0.002 |
| Bibliometrics | 0.001 | 0.004 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.003 | 0.005 |
| Open science | 0.009 | 0.003 |
| Research integrity | 0.001 | 0.005 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; both teacher heads agree on what is shown here.
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".