The Impact of Student Location in a Global Design Project
Bibliographic record
Abstract
Various engineering programs in North America enable students to immerse in international projects. Some students travel with NGOs and perform engineering work as part of their curriculum, and some design projects for hypothetical clients in other parts of the world. The authors designed a charcoal press for Kenyan farmers as part of their 2nd year design class. Due to the success of the design, the project was brought to Kenya, and was modified to be built to the materials and equipment that were available in the rural communities. One of the authors travelled to deliver the design, participated in building the device, as well as trained the clients to perform the process. The second author stayed in Canada.The authors present their experience on this two-stage design process, where the students were exposed in both designing from a distance and being immersed in the international setting of the project. Writing from students’ perspective, different points on how the project was effective on engraving design principles to students were shared. Students also reflected on their experience and developed recommendations on how the experience can be improved for future students who will take similar programs
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.011 | 0.023 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.007 | 0.003 |
| Scholarly communication | 0.009 | 0.004 |
| Open science | 0.002 | 0.010 |
| Research integrity | 0.003 | 0.003 |
| Insufficient payload (model declined to judge) | 0.015 | 0.003 |
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 source (direct Gemma or distilled Codex), 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".