Quality Assurance in Higher Education Institutions: Exist Survey among Universiti Putra Malaysia Graduating Students
Bibliographic record
Abstract
This paper presents the exit survey of graduating students at Universiti Putra Malaysia (UPM). The results gathered from 1,823 final year students of the 2006/07 session indicate that overall, the students’ satisfaction level is moderately high (3.55 ± 0.79). The students’ perception on the attributes of graduates resulting from learning outcomes is also moderately high (3.65 ± 0.66). Although there are no differences in students’ satisfaction level according to gender (t = .582, p > 0.05) and students’ residence (t = .121, p > 0.05), however, it differs according to students’ study programs (F = 35.44, p < 0.01), with Social Science students having a higher satisfaction level (3.80) compared to their counterparts in the Physical Sciences and Engineering (3.48) and Bioscience and Medicine (BSM) programs (3.37). Through this exit survey, together with many other assessment initiatives, the university aspires to provide the highest possible quality in terms of teaching, research and professional services.
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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 | 0.002 | 0.005 |
| 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 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".