Evaluation and Analysis of Freshman Design Courses in Engineering
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Design is a crucial component to engineering.Therefore, it is important for engineering students to learn and practice design skills early in their education.At the Schulich School of Engineering, University of Calgary, two implementations of design education were explored; a two-semester design experience with a focus on learning-by-doing, and a single semester experience with a focus on balancing the theoretical foundations of design, communications, and project management, with practical lab workshops.The focus of this paper is the development and evaluation of criteria used to compare these two approaches to a freshman design experience.Using the Canadian Engineering Accreditation Board (CEAB) Graduate Attributes criteria and drawing from the Conceive-Design-Implement-Operate (CDIO) Initiative as the basis for evaluation, a detailed analysis of the strengths and weaknesses of the two design courses in terms of learning outcomes is explored.
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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 | 0.000 | 0.001 |
| 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 it