The Effectiveness of Islamic Project Module Towards Formation KEMAS Kindergarten Children Values
Bibliographic record
Abstract
The aim of the present study is to evaluate the effects of using the Islamic Project© Module by preschool teachers in the development of KEMAS kindergarten children in the state of Kelantan. This module seeks to provide significant and critical data on the integration of values in subject-matter teaching. The Modified Delphi technique was used to get consensus for the different module components. Experts from different educational fields fully involved in the module development. The respondents were 100 teachers from 100 government sponsored-kindergarten in the rural areas (TABIKA KEMAS) in Kelantan. All participating teachers were given 3 days of intensive training before implementing the Moral project approach. Using Kirkpatrick's 4-Level Assessment Model, the results of this study clearly demonstrated the effectiveness of this intervention model. Repeated measure of the ANCOVA analysis also showed that there were significant differences in comparisons between the intervention (experimental) and control groups. The findings further revealed a significant increase in teacher practice score change between the intervention and control groups over time (F-stat = 528.71, p-value = <0.001); and control over time (p-value = <0.001). Additionally, a significant increase in teacher attitude score change between the intervention and control groups (p-value = <0.001) was also recorded.
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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 | 0.003 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".