Experiences with Using Assessment Based, Double-Loop Learning to Improve Engineering Student's Design Skills
Why this work is in the frame
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Bibliographic record
Abstract
The problem with traditional engineering education revolves around the use of stove-pipe curricula, using passive lectures and cookbook laboratories with pre-determined results. Real-world engineering is open-ended and team-oriented requiring active participation. This paper describes a proof of concept study focused on the efficacy of assessment based double loop learning aimed at improving engineering student's design skills. Our study began by examining student's present design skills over all 4 years of the electrical engineering (ELE) and computer engineering (CPE) curriculums. During the second year of the study, junior engineering students are provided with a new open-ended design course where students use design process assessments to improve upon their use of sound design practice, thereby improving their outcomes in design.
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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 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| 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