Utilizing the CDIO syllabus to reveal CEAB Graduate Attribute Pathways in a Mechanical Engineering Curriculum
Bibliographic record
Abstract
Many Canadian engineering programs offercourses through a pre-requisite approach: coursework,and therefore knowledge, is assumed to build throughout aprogram. The pre-requisite approach allows postsecondaryinstitutions to monitor the pathway a studenttakes throughout a program, and is assumed to be informedby knowledge journeys. In our experience, however, prerequisitesmay only be loosely based on scaffoldeddevelopment of student learning. Course pathwayssometimes place a greater emphasis on administrativeconvenience and historical relationships, rather thanreflect an up-to-date or meaningful developmental journey.These “pathways” appear to be particularly tenuous whenit comes to professional skills development, despite anincreasing emphasis on their importance (see Canada’sGraduate Attributes 6-12 (Canadian EngineeringAccreditation Board, 2017)). The pre-requisite model mayreinforce a bureaucratic approach to professional skillsdevelopment, inhibiting flexibility and innovation in coursedelivery by allowing administration, rather than learningoutcomes to guide student learning
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 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".