STRENGTHENING THE TAHFIZ STUDY SYSTEM IN THE ERA OF THE INDUSTRIAL REVOLUTION 4.0: DIRECTIONS AND CHALLENGES IN MALAYSIA
Bibliographic record
Abstract
The high acceptance and response of the public to tahfiz education has provided space for the government to provide various alternatives to tahfiz education through the approval of the Ulama Council to implement the National Policy on Tahfiz Education (DPTN). The main purpose of this research is to see how far the development of tahfiz education and soft skills (KI) among huffaz are. Related to that, the four curriculum modules that will be introduced are Tahfiz Turath, Tahfiz Sains, Tahfiz Dini and Tahfiz Kemahiran. Among the main directions and challenges that need to be faced are the combination of ideas, competitive infrastructure and a strong implementation commitment to ensure that the Tahfiz institution continues to excel on the world stage. In the end, empowerment of the education system and tahfiz studies can produce professional huffaz who have a balance of religious knowledge, secular academics, personality and technology skills simultaneously in developing holistic human capital in the current era of the Industrial Revolution 4.0
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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 | 0.009 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.006 | 0.005 |
| Scholarly communication | 0.007 | 0.003 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.005 | 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".