Implementation of Islamic Civilization and Asian Civilization Course: Experience in National University of Malaysia and Private Higher Education Institutions towards Consolidating the Element of Science and Technology
Bibliographic record
Abstract
Islamic Civilization and Asian Civilization (TITAS) course at Public Higher Educational Institution (IPTA) has long been implemented in National University of Malaysia (UKM). In UKM, it is compulsory for all students to sit for TITAS paper, and this requirement is applied to both Muslim and non-Muslim students. This is different for students enrolled in Private Higher Educational Institutions (IPTS) where its operation is subject to the Private Higher Educational Institutions Act 1996, or known as Act 555 which serves to regulate the establishment, registration, management and supervision as well as the monitoring of quality of education provided by IPTS. Based on the provisions provided in Section 43, all IPTS should teach Malaysian Studies and Islamic Studies subjects for Muslim students and Moral Education subject for non-Muslim students. These subjects are known as Compulsory Subject (MPW) and must be taken by all students and are considered as must-pass subjects for graduating. Thus, after 15 years of MPW implementation, the Ministry of Education has revamped the structure MPW into General Subject (MPU). Among the goals of this new structure is to improve students’ potential ability towards producing holistic students and homogenizing general education curriculum between IPTA and IPTS. This objective is achieved through the appreciation of philosophy, values and history, soft skills mastery, broadening of knowledge according the Malaysian way and the application of soft skills. Therefore, this article will discuss the Islamic Civilization and Asian Civilization course in the new MPU structure in IPTS in comparison with the IPTA. From the discussion, it was found that Islamic Civilization and Asian Civilization course has been applied in the MPU structure towards producing students who appreciate good values and identity. At the same time, suggestions were also presented, so that the elements of science and technology will also be adopted in Islamic Civilization and Asian Civilization course especially in matters regarding the roles and contributions of Science and Technology to world civilization.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.005 | 0.002 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.004 | 0.001 |
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".