Analisa Terhadap Buku Modul Hadis Pendidikan Awal Kanak-Kanak Di Pasaran
Bibliographic record
Abstract
Islam is a comprehensive religion that emphasizes the importance of education for every individual. Islam views education as the most effective way to shape a prosperous society, as stated in the Quran. One important aspect is early childhood education. Efforts to elevate early childhood education can be seen through the initiatives taken by government agencies, such as the establishment of nurseries, kindergartens, daycare centers, and private agencies offering similar services. Additionally, private entities have also published modules for early childhood education that are used in preschool and kindergarten curricula. This article aims to examine the implementation of Islamic education among children in Malaysia through the module book of the hadiths of Prophet Muhammad. The methodology used is descriptive, utilizing qualitative methods to analyze documents. The researcher reviewed several module books that were successfully obtained and published in the market, subsequently analyzing and evaluating their content based on aspects of hadith narration, the number of hadiths, themes of the hadiths, appropriate writing techniques and styles for children's age groups, and the teachings derived from the hadiths. The study found that efforts have been made by private agencies and individuals to collect and compile the hadiths of Prophet Muhammad (PBUH) for the purpose of early childhood education. The study also found that the printed modules of hadiths available in the market still have room for improvement based on the analysis and comments made by the researcher in the study findings. The author also suggests that these books be reviewed by advisory panels for further improvement and be transformed into learning modules for early childhood education
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.011 | 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".