The Effectiveness of The Utilization of Mathematical Pyramid Media on Academic Achievement of Students in Mathematics Education Study Program
Bibliographic record
Abstract
This study aims to see the effectiveness of the use of mathematical pyramid media in learning media courses to improve the academic achievement of fourth semester students of the Mathematics Education Study Program, FKIP UNA, Academic Year 2019/2020. The sample of this research is two classes, namely class IVA (experimental class) and class IVB (control class). The pretest mean value of the experimental class (64.82) with the highest value of 82 and the lowest score of 46, the pretest value of the control class (61.48) with the highest value of 78 with the lowest score of 42. From the pretest homogeneity test there was no difference in variance or the two samples homogeneous where Fcount <Ftable (1.86). From the pretest data normality test, it was obtained that L0 for the experimental class (0.1274) and L0 for the control class (0.117). For post-test data, it is obtained L0 for the experimental class (0.1587) and L0 for the control class (0.1082). The value of L0 is smaller than L table (0.161) so it can be concluded that the data is normally distributed. The average post-test score of the experimental class (87.9) with the highest score of 90 and the lowest score of 63, while for the control class the average post-test score (80.6) with the highest score of 90 and the lowest score of 54. = 2.11> ttabel = 2.01 which means that Ha is accepted. Keywords: Mathematics pyramid media; academic achievement; learning media
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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 | 0.007 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".