Cornerstone Design: Product Dissection In A Common First Year Engineering Design And Graphics Course
Why this work is in the frame
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Bibliographic record
Abstract
In the senior year of an engineering program many students will have the opportunity to enroll in courses that offer Capstone engineering design projects In many engineering students' educational career these are the most interesting and rewarding courses because they offer the student the ability to apply the culmination of their education to an engineering design problem. This is often described favourably by the student as their first "engineering" experience and in general it provides a greater appreciation for the field of engineering and a motivation for greater knowledge. If this type of experience could be offered to first year students it would significantly enhance their engineering education. However, the challenge for a first year engineering program is balancing the required background knowledge for design against a procedure for demonstration; this is an even greater challenge for a common curriculum. Just as the Capstone represents the tip of an engineer's education, we offer the Cornerstone Design to represent the base The objective of the Cornerstone is to instill in first year engineers enjoyment from learning, motivation to continue learning, and genuine intellectual curiosity about the engineering in the world around them. This paper will present our work in structuring and delivering the Cornerstone Design Project as a product dissection and modeling to 1000 first year engineering students in a Design and Graphics course. The paper will also report on student feedback regarding the project and its effect on their motivation and engagement to the course material.
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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 | 0.000 |
| 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