EFEKTIVITAS PEMBELAJARAN FULLY DARING TERHADAP KEMAMPUAN PENALARAN MATEMATIS SISWA
Bibliographic record
Abstract
The purpose of this research were to describe: 1) the effect of fully online learning to the mathematical reasoning abilities of students; 2) the response of the students to the application of fully online learning. The research was a mixed-method using quantitative and qualitative methods with one group pretest-posttest design. There were 32 students of class XI MIA MA NW Wanasaba, Wanasaba Sub-District, East Lombok Regency as the sample. Instrument of this research was the mathematical reasoning abilities essay test consists of 10 questions on learning materials of limit function, observation and interviews. The quantitative data analysis using descriptive statistics with paired sampel t-test. The results of this research showed that: 1) according to the results of data analysis, it was discovered the value of Sig. (2-tailed) was 0.000 < 0.05, it means that H0 was rejected and Ha was accepted, this indicated that there was a difference between the pretest and posttest average. Based on the descriptive statistics, the average of pretest score was 71.03 higher than the posttest score was 59.97. It can be concluded that the fully online learning was no more effective to the mathematical reasoning abilities of students. 2) there were 16% of the students gave a positive response to the application of fully online learning, 84% of the others prefer the blended learning and students gave a less positive response to the application of fully online learning and it was considered less helpful in practicing the mathematical reasoning abilities of students.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.016 | 0.003 |
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; both teacher heads agree on what is shown here.
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".