ENGINEERING SKETCHING AS A VISUALIZATION TOOL - PART DEUX: VISUALIZING ENGINEERING CONCEPTS
Bibliographic record
Abstract
Engineering sketching is a method of externalizing the thinking about, and solving of, design problems. Sketching, from the Greek σχεδιος (meaning “sudden”), can be defined as: 1. A simple, rough drawing or design; 2. A brief plan or description of major elements. Sketching exists somewhere between writing and formal drawing as a means of formulating ideas. In the third year of teaching engineering sketching in our first year design course, assignments were given an additional component: the visualization of engineering concepts. This had three motivations: 1. Students should be given the opportunity to integrate knowledge from other first year engineering courses; 2. Students should be challenged to think spatially; 3. Students who were not necessarily strong renderers should be able to do well in the “concept” category. This paper will discuss how these new components encouraged the students into a more Visual-Spatial (VS) thinking mode. There will be some discussion regarding how VS type students “understand” with respect to more prevalent Auditory-Sequential (ASQ) type students. The goal of visualizing engineering concepts is to bridge the ASQ style of deliveries (from other knowledge-bases) with a more VS style of problem solving.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| 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 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".