EXAMINING FOURTH YEAR MECHANICAL ENGINEERING STUDENT PERCEPTIONS OF GRADUATE ATTRIBUTE COMPETENCIES: YEAR THREE
Bibliographic record
Abstract
This paper describes the third year of amixed methods explanatory case study to examine fourthyear engineering student perceptions of the CEABgraduate attributes in the Mechanical Engineeringprogram using a student exit survey and student focusgroup interviews. The purpose of this paper is to reportstudents’ perceptions of their graduate attributecompetency levels and the program’s graduate attributestrengths and weaknesses in a three-year continuum,supporting the findings with the data from three studentfocus group interviews. This investigation offers thefaculty an understanding of its student engineeringstakeholders’ perceptions of how the CEAB graduateattributes are manifest in the Mechanical Engineeringprogram. It will be used to provide feedback atinstructor, program and faculty levels as the Universityof Manitoba’s Faculty of Engineering furthers its effortstowards achieving a continuous cycle of improvement
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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 | 0.005 | 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 | 0.003 | 0.001 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.005 | 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".