A Snapshot of Entrepreneurship Education at Canadian Engineering Schools – A Representative Overview from EETI SIG Members
Bibliographic record
Abstract
With the rise of an innovation-based, technology-centric economy over the past two decades, there has been a shift in the market, enabling technological entrepreneurs to build business ventures that have realized accelerated growth and reached considerable scale. This “new economy” has created a need for individuals with a balanced skill set accompanying both business acumen, and technological innovation of complex systems. In esponse to this need, post-secondary engineering education institutions are teaching more business and entrepreneurship content. In Canada, most of the major post-secondary engineering education institutions offer some form of entrepreneurial education. However, approaches and programs offered by respective institutions vary in their approach to teaching engineering entrepreneurship, yielding a variety of different program implementations. There is, thus, a strong need to develop a Community of Practice focusing on engineering entrepreneurship education in Canada to foster a more rigorous and collaborative effort to evolve entrepreneurial teaching and learning. This paper is a first attempt to document and interpret the current state of a select number of Canadian Engineering Entrepreneurship Education programs. The founding members of the Canadian Engineering Education Association’s (CEEA) Engineering Entrepreneurship and technology innovation (EETI) Special Interest Group (SIG) have collaboratively collected information regarding the current practice of Engineering Entrepreneurship education within their affiliated institutions. This paper examines the Institutional Context, Strategy, Business Infrastructure, as well as the programs employed for Teaching and Learning at both the Undergraduate and Graduate levels. Our goal is to present a snapshot of the current practice for which entrepreneurship education is delivered at the institutions for which the founding members of the EETI SIG reside, as well as, discuss how entrepreneurship intersects with the other areas of engineering education, for example, design, the maker space movement, and professionalism, as well as, many of the Canadian Engineering Accreditation Board’s twelve graduate attributes.
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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 | 0.003 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.013 | 0.031 |
| Science and technology studies | 0.010 | 0.001 |
| Scholarly communication | 0.006 | 0.001 |
| Open science | 0.002 | 0.004 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.005 | 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".