ENGINEERS-IN-RESIDENCE PROGRAMS AS A FRAMEWORK FOR INDUSTRY ENGAGEMENT IN UNDERGRADUATE ENGINEERING EDUCATION: CHALLENGES AND OPPORTUNITIES
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Industry engagement in undergraduate engineering education is a community-centred approach to learning that is hands-on and links the engineering theory to practice. This paper provides a review of existing Engineer-in-Residence (EIR) programs in Canada, including the University of Manitoba, Dalhousie University, University of Calgary, Ryerson University, University of Ottawa, and the University of Waterloo, as well as a brief international scan. We consider the motivations behind the institutions’ initiative to introduce EIR programs, different types of engagements, challenges, and opportunities. Programs are also examined externally relative to professional residency programs in business schools, among others, and relative to other forms of industry engagement in undergraduate engineering education. A brief overview of the history and role of EIRs within engineering programs is also presented. The paper will be of interest to those exploring a similar industry engagement framework at their institution, and offers a forward-looking perspective on ways to leverage the skills and experience of practicing engineers in preparing students to tackle the challenges of the future.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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 it