Penggunaan Media Kartu Pecahan untuk Meningkatkan Hasil Belajar Matematika Materi Pecahan Kelas 3 SD Ta’mirul Islam Inovatif
Bibliographic record
Abstract
This research is about Classroom Activity Research (PTK), this research is for students of Sd Ta'mirul Islam Surakarta. The numbers of the students are 26 students consists of 12 boys and 14 girls. Tje purpose of the research is to increase the result of learning from the third grade of SD Ta'mirul Islam Surakarta by using fraction card media. The result of learning pre cycle with the standard of minimum criteria of mastery learning (kkm) 75 is got from the average class, it is 68,6. in the first cycle the average class score is 77,5. The number who is completed the learning is 19 students or 73%. In the second cycle the average class score is 81,1. The observation data shows the result of learning is increase. The number is 23 students or 88% are completed the learning, and who is not finished the learning is about 3 students or 12%. So the conclusion is the result of learning by using fraction card media can increase the score, activeness, and can motivate the students.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.048 | 0.010 |
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; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".