Measuring Students' Employability Skills as They Are Perceived at Yarmouk University
Bibliographic record
Abstract
The purpose of this study was to investigate Yarmouk University students’ employability skills as they are perceived. The study also examined if there were any differences in perceptions on employability skills among students on assigned variables (gender, high school discipline, level of study, type of college, and major willingness). Data for this study were collected via validated and reliability tested questionnaire. The survey includes 10 employability skills domains combined forty-item. A total of 317 students from 15 colleges at Yarmouk University participated in the study. The sample in this study was 176 students who were enrolled in life skills courses that are offered by the university in the second semester 2013. Analysis of Variances (ANOVA) was used, and the results showed that there were significant differences among participants on three domains: coping with stress, empathy, and interpersonal relationship for the advantage of students from scientific colleges. Finally, the study recommended embedding employability skills in the curricula to enhance academic standards and supply the demand of the labor market.
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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 | 0.002 |
| 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 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| 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".