Pengaruh Model Pembelajaran Berbasis Proyek terhadap Kemampuan Penalaran Adaptif Matematis Siswa Kelas VII SMPN 2 Lenek
Bibliographic record
Abstract
Abstract: The aim of this study is to find out the influence of project-based learning models on the adaptive mathematical reasoning ability of students of grade VII at SMPN 2 Lenek. The method used in this research is experimental research. The design of this study is based on Pretest-Posttest Control Group Design. The samples used in this study were two classes where class VII A as experimental class and class VII B as control class, then both classes were given different treatment i.e. in experimental classes were treated with a project-based learning model whereas in control class were given conventional learning models, after given further treatment were given posttests to find out the final ability of students. The test results of the hypothesis obtained thitung = 4,741; ttabel = 1,045 or (thitung 4, 741 > ttabel 1, 045). Thus, it can be concluded that there is an influence of project-based learning models on the ability of mathematical reasoning students in SMPN 2 Lenek school year 2023/2024.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.012 | 0.002 |
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".