Engineering co-op and internship experiences and outcomes: The roles of workplaces, academic institutions and students
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
Work-integrated learning, particularly in the form of co-ops and internships, has long been an integral part of many engineering programs. While recent government interest in work-integrated learning has raised its profile, it is unclear how the three main actors—the workplace, the academic institution and students themselves—interact with each other to enhance students’ learning experiences and outcomes. This paper attempts to fill this gap by examining engineering co-op and internship literature as well as programming practices at nineteen North American universities. In light of a conceptual framework foregrounding the triad that shapes co-op and internship experiences and the resulting learning outcomes, we identified four themes that respectively demonstrate the achieved learning outcomes and the roles of workplaces, academic institutions and students in the work-integrated learning process of engineering co-ops and internships. The paper contributes to the discussion on engineering education by developing a framework out of the findings for understanding the work-integrated learning process in engineering co-ops and internships.
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| 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 it