PENERAPAN MODEL PEMBELAJARAN CORE (CONNECTING, ORGANIZING, REFLECTING AND EXTENDING) UNTUK MENINGKATKAN PRESTASI BELAJAR PESERTA DIDIK PADA POKOK BAHASAN KESETIMBANGAN KELARUTAN (KSP) DI KELAS XI IPA SMAN 4 PEKANBARU
Bibliographic record
Abstract
The research about the CORE (Connecting, Organizing, Reflecting and Extending) model has been conducted in SMAN 4 Pekanbaru. The purpose of this research is to detemine wheterthe application of CORE learning can improve achievement and the influence of application of CORE learning model in class XI IPA SMAN 4 Pekanbaru on the subject solubility aquilibrium (Ksp). The type of this research is experimental research with experiment design randomized control group pretest-posttest. Sample of the research consisted of two classes, a class XI IPA 5 as an experimental class (implemented the CORE learning model) and class XI IPA 1 as the control class (without the CORE learning model). Test tecniques used as a tecnique in collecting research dats. T-test and coefficient determinasi was used as analysis technique. Based on the data analysis obtained t > t table is 5,71 > 1,66, meaning that the application of the CORE learning model can improve the student achievement on the subject solubility aquilibrium (Ksp) in class XI IPA SMA Negeri 4 Pekanbaru with the great influence of implementation of the CORE learning model on improving learning achievement is 31,178%.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.002 | 0.001 |
| 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".