Management of Technology (MoT) undergraduate program in Malaysia: A Perspective
Bibliographic record
Abstract
Management of Technology (MoT) Education is growing both in numbers and importance. There are more than 200 universities in the world that are offering MoT programs. However, these universities have taken different approaches with respect to the names and designs of the programs. In Malaysia, some of the programs are known as Technology Management, Production & Operation and Industrial Management. The curriculum structures and contents of the programs also vary. For more effective MoT education in Malaysia, it is necessary to consider both the national agenda and business requirements for more practical MoT education approach. This study described two MoT undergraduate programs in one public institution in Malaysia to fill in the literature gap on MoT education in Malaysia. It adapted the IAMOT MoT Credo as a framework for comparing the structure and contents of the programs. The findings concluded that, although the two programs have met the IAMOT Credo’s requirements, they have distinctive features. These distinguishing characteristics reflected the Malaysian’s human resource needs.
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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 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 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".