ESSENTIAL ELEMENTS OF CHILDREN’S STORY BOOKS IN ISLAMIC PEDAGOGY BASED ON AL-QURAN TO CULTIVATE PROSOCIAL BEHAVIOUR AMONG PRESCHOOL CHILDREN
Bibliographic record
Abstract
It is a very concerning situation we are having today when seeing youngsters showing less involvement and not being helpful toward the ones in need. Having children to be exposed to storybooks is to introduce them with moral values that help in building their characters. Storybooks are developed containing pedagogies adapted from the Quran that convey the value of prosocial behavior effectively. The pedagogies are narrative, dialogue, repetition, and questioning. Typography, illustrations and simplified phrases are additional elements that are also included. This research involved 60 children aged 5 to 6 years old from selected preschools in Malaysia. 30 children are presented with the original version of the storybooks and the rest are presented with modified storybooks. Modified Prosocial Behaviour Questionnaire which consists of 15 items is required to be filled during pre and post-test. There was no significant difference in the pretest (M= 32.07, SD= 3.89) and post-test (M= 32.80, SD= 8.57) when using the original books; t(29)= -0.427, p= 0.672 while there was a significant difference in the pretest (M= 23.83, SD= 7.33) and post-test (M- 32.50, SD= 7.93) when using the modified books; t(29)= -16.478, p= 0.000.
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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 | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".