Motivational Factors of Professional Engineers and Non-Professional Engineers in Applying for License as Professional Engineer: A Comparative Study
Bibliographic record
Abstract
All engineering faculties in Malaysia are required to have at least three academics who have engineering competency for each program. Having an engineering competency means academics has obtained the compulsory endorsements from the Boards of Engineers, Malaysia, BEM. Upon approval, academics seeking such competency could carry the suffix Ir. to their names and are called Professional Engineers (PEs). In some developed countries, it is known as Chartered Engineer. Efforts in increasing the number of PEs should be taken seriously by all parties to meet these criteria. This paper presents the perceptions of academics about being a professional engineers and prospect applicants while preparing for PE certification. Academics mostly from the Faculty of Engineering and Built Environment (FEBE), Universiti Kebangsaan Malaysia (UKM) participated in the study. The surveys were grouped into two, namely, 1) academics who have PE qualifications and 2) academics who do not have PE qualifications. The respondent for this study are selected randomly. The response rate for the both group is around 30%. In the first survey, results show that PEs strongly acknowledge that this title improve quality of their careers as well as boosts their confidence among the society. These results also show that by being part of the registered professional body, PEs have bigger connections in the wider society, beyond academic field, and more interestingly receive more attentions and feel more respectful. In the second survey, responses in the first category indicate that lecturers have little intention to submit an application because the lack of department supports in term of remunerations and direct fee allowances. In the second category, lecturers blame procedures, but it is the eligibility in the third category that finally makes the cut; a large percentage of lecturers do not have an industrial attachment. Technically, they are ineligible to apply for the professional examination. This issue is also related to the unavailability of mentor at their work places. It is our views that departments should respond appropriately such as to award lecturers with remunerations or sponsor some of the fees. The department should also address the eligibility issue.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".