CDIO: An International Initiative for Reforming Engineering Education
Bibliographic record
Abstract
With support from the Knut and Alice Wallenberg Foundation, the Royal Institute of Technology (KTH), Linkoping University and Chalmers University of Technology of Sweden, and the Massachusetts Institute of Technology (MIT) of the USA, launched the CDIO Initiative to improve undergraduate engineering education in their countries and, eventually, worldwide. The Initiative is an open-architecture endeavour that is designed to be adaptable and adoptable by any undergraduate engineering programme. In 2002, the Technical University of Denmark joined the Initiative and, in 2003, other schools in Canada, South Afri ca, the United Kingdom and the USA were aligning themselves as well. CDIO is a closely coordinated programme with parallel efforts at participating schools. The Initiative's vision is to provide students with an education that stresses engineering fundamenta ls that are set in the context of Conceiving - Designing - Implementing - Operating (CDIO) real-world systems and products. The article describes the Initiative's launch, progress and impact.
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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 | 0.015 | 0.017 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.004 | 0.004 |
| Science and technology studies | 0.002 | 0.003 |
| Scholarly communication | 0.008 | 0.004 |
| Open science | 0.003 | 0.010 |
| Research integrity | 0.004 | 0.006 |
| Insufficient payload (model declined to judge) | 0.023 | 0.007 |
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".