The Role of Project Based Learning Strategies in Fiqih Subjects
Bibliographic record
Abstract
The learning strategies commonly used by teachers are lecture, discussion and demonstration strategies. Even though there are many learning strategies, one of them is the Project Based Learning strategy. This strategy is very suitable for students' learning to deepen their knowledge and develop their abilities in carrying out activities. The purpose of this research is to determine the role of project-based Project Based Learning strategies in fiqh lessons. This research uses quantitative methods using survey models and in-depth interviews. The survey used in this research is online based. The results of this research show that students' understanding increases when the Project Based Learning strategy is applied by the teacher in the learning process. Conclusion pThis research explains that the role of the Project Based Learning strategy really helps teachers in the teaching and learning process in fiqh subjects. So that student achievement increases and student enthusiasm for learning increases. Therefore, the limitation of this research is that the researcher only conducted research on the role of Project Based Learning strategies in fiqh lessons. The researcher hopes that future researchers can conduct research on Project Based Learning strategies by developing this strategy in other subjects.
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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 | 0.006 | 0.018 |
| 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 | 0.004 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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 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".