Islamic Practice among Polytechnic Ungku Omar Students
Bibliographic record
Abstract
The purpose of Islamic education is to impart knowledge of Islamic teachings for students to practise in their daily lives. Islamic Education is a compulsory course for all Polytechnic students in Malaysia. However, there has not been any study on its effectiveness on the Islamic practice of students in their daily lives. Hence, this research is to measure the effectiveness of implementing this course on the Islamic practice among students of one of the polytechnics in Malaysia, Ungku Omar Polytechnic (PUO), Ipoh, Malaysia. The purpose of this research is to study the level of Islamic practice among students in terms of aqidah (belief), ibadah (worship) and akhlak (moral/ character). This research is a study survey. The research instrument used to measure the level of Islamic practice among Muslim students is the Islamic Practice Instrument (IPI-Fariza). 60 male and 40 female students are selected as research respondents. Data obtained through questionnaire forms is analysed using SPSS software and research findings are explained using descriptive statistics displayed in mean scores. The Alpha Cronbach reliability value for the whole of the question items in the questionnaire is high, that is, 0.923. Research outcome shows that the level of Islamic practice among respondents is high in all aspects, that is aqidah 100.0 percent, ibadah 94.0 percent and akhlak 96.0 percent. In conclusion, overall research findings show that the level of Islamic practice among students in PUO is high. This shows that the Islamic Education course taught has a favourable effect on Islamic practice among students of Ungku Omar Polytechnic (PUO), Ipoh, Malaysia.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".