DESIGN FOR THE FUTURE: INTEGRATING INTERNATIONAL DEVELOPMENT INTO CANADIAN UNDERGRADUATE ENGINEERING CURRICULUM
Bibliographic record
Abstract
With an ever-increasing need to address the future of engineered sustainability in our global communities, a simple, brief, study of sustainability factors in undergraduate engineering curriculum is no longer adequate. With exponentially rising problems in the global society such as water contamination and shortages, food processing needs, ineffective irrigation practices, technology shortfalls, and underdeveloped sanitation practices, engineering curriculum today must address these international development issues, along with sustainability concepts, using effective, hands-on methods to prepare Canadian graduates for the competitive and challenging workforce they will enter. In this contribution, the importance of considering international development problems in the engineering design component of undergraduate curriculum is analyzed. We then go on to discuss the various methods that can be utilized to implement and teach an international development curriculum. International development engineering curriculum should not only focus on the hands-on design requirements, but should introduce the student to issues such as education, health care, political stability, and economy in the developing world. Topics such as cultural sensitivity and community integration, which are concerns that must be an integral part of any international development project, should also be incorporated into this curriculum. Finally, a case study is presented in which a Canadian university has successfully enhanced their first-year engineering design curriculum by integrating international development problems into their syllabus.
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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 | 0.005 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.007 | 0.002 |
| Scholarly communication | 0.005 | 0.001 |
| Open science | 0.002 | 0.004 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.007 | 0.001 |
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".