Penerapan Metode Project Based Learning (PJBL) pada IPAS Tentang Perkembangbiakan Tumbuhan untuk Meningkatkan Hasil Belajar Siswa Kelas IV di SDI Harekakae
Bibliographic record
Abstract
This research aims to improve the learning outcomes of fourth-grade students at SDI Harekakae in Science subject about plant reproduction through the implementation of Project Based Learning (PjBL) method. The research method used is classroom action research (CAR) which was carried out in two cycles. Each cycle consists of planning, action, observation, and reflection. The subjects of the research were fourth-grade students of SDI Harekakae in the academic year of [Academic Year], totaling [Number of Students] students. Data on student learning outcomes were obtained through formative tests at the end of each cycle. The results showed that the implementation of the PjBL method can improve student learning outcomes in plant reproduction material. The improvement of learning outcomes can be seen from the increase in the average class score from cycle I to cycle II. Thus, the PjBL method can be used as an effective learning alternative to improve student learning outcomes in Science subject.
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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 | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.008 | 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".