APPROACHES THAT HELP STUDENTS GENERATE NEW DESIGN SOLUTIONS
Bibliographic record
Abstract
Recently a new design methodology, Environment-Based Design (EBD) [1, 2] has been developed. In using the model of EBD, three elements are important: primitive synthesis knowledge, primitive environment and primitive solutions. Based on the three elements, three design strategies have been validated in [3] for generating new design solutions: formulating design problems differently, changing the sequence of decomposition of the design problem and extending synthesis knowledge. Increasing the possibilities of generating new design solutions may increase the chance of getting creative design solutions. Thus the three strategies for leading to new design solutions can be introduced into our engineering design education for helping and inspiring students generate creative design solutions. In this paper, we will first briefly introduce EBD model and the three design strategies leading to new design solutions, then explain how EBD can be integrated into the design education of engineering students and elaborate how the design strategies can be used to help students generate different design solutions.
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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 | 0.000 |
| 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 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".