Mathematical Literacy of Indonesian Elementary School Students: A Case Study of Bandung School
Bibliographic record
Abstract
Improving mathematical skills is one of the critical goals of school education. The study aimed to try to figure out how the mathematical literacy skills of students in elementary schools based on OECD indicators and the results of the minimum competency assessment (MCA). This research uses a quantitative approach with a descriptive method. A purposive and convenient sampling was undertaken, and one hundred thirty-two participants were in grade 5 at an elementary school in Bandung. The data showed that the average mathematical literacy score was 56.84, indicating a low score. 63% (N=83) of students displayed low achievement outcomes, those students are positioned at a knowing level in the minimum competency minimum (MCA) and only master 1-2 indicators in the OECD. The results indicate that the mathematical literacy outcomes of the grade 5 students in Bandung fall far behind the governmental goal. On the other hand, this study is severely subjective to the limited sample, and a larger sample is suggested in the future to give a snapshot of students’ mathematical literacy achievement.
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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 | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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; a candidate call from one teacher head, 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".