The Application of Contextual Approach in Learning Mathematics to Improve Students Motivation At SMPN 1 Kupang
Bibliographic record
Abstract
This research is an action research which aims to implement contextual teaching and learning (CTL) approach to learn mathematics, focus on the integration subjects. The approach utilizes the use of mathematics manipulative so that students can understand a mathematical concept to construct their own. The method which used in this research are describtive method for calculate the student results. The object of this research are 41 students of the 7thE grade students of SMPN 1 Kupang. Mathematics Teacher and researchers became observer. The research was conducted in three cycles, with an overview of the following results; (1) there is an improvement of student motivation in following the learning process which can be seen from their enthusiasm in trying the counting beam either beads number aids (2) student activity increases which can be seen from their cohesiveness for solving the question and the cases which given in their group, (3) their mastery of concept ialso increases which is seen from the mean of their group mark from cycles 1 (35.8%), cycle 2 (40.6%) to cycle 3 (44.12%). The experiment was conducted in three cycles, with an overview of the following results; (1) student motivation for obeying the lessons seen rising from their passion to try and count beam props beaded numbers that exist in the learning process, (2) increased student activity is illustrated by their compactness to solve problems or cases are given in groups them, (3) also increased their mastery of the concept seen from the mean value of the group they began to cycle 1 (35.8%), cycle 2 (40.6%) up to 3 cycles (44.12%).
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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 | 0.001 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 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 | 0.000 |
| 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".