The Impact of Hikmah (Wisdom) Pedagogy on 21st Century Skills of Selected Primary and Secondary School Students in Gombak District Selangor Malaysia
Bibliographic record
Abstract
In this paper the impact of Hikmah Pedagogy (HP) on critical, creative, caring and collaborative thinking and communication skills of students in primary and secondary schools through the subjects of Malay (also known as Bahasa Malaysia) and English languages were investigated. The participating teachers were trained by experts from the Center for Teaching Thinking, International Islamic University Malaysia (IIUM) and they were observed and supervised to ensure HP was implemented correctly. This study employed the case study method to collect both quantitative and qualitative data. The quantitative data were collected before and after the intervention of the HP using the Cognitive Behavior Checklist. Mid-semester and final examination results were used to gauge improvement in English and Bahasa Malaysia. These data were analysed using descriptive and inferential statistics. The qualitative data were collected through interviewing teachers individually at the beginning and focus group discussion (FGD) at the end of study. The data were analysed qualitatively to identify the emerging themes. The findings show that when students were given opportunity to ask questions based on the given stimulus materials and to voice out their opinions in the dialogic approach of HP, they demonstrated the ability to reason well; think about their own thinking; to think caringly and collaboratively. Students showed improvement in their communication skills in both languages which were indicated by the increase in their examination results, particularly in writing and oral skills.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| 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".