Graduate Certificates in Ontario colleges: uniquely engaging in specialized skills development
Bibliographic record
Abstract
Purpose – The purpose of this paper is to examine Graduate Certificates in colleges in Ontario, Canada, and their distinctive ability to generate intrinsic student engagement in specialized skills development, and a culture of progression and scholarship. Design/methodology/approach – This is a review of selected literature on student engagement. While extrinsic motivation, such as employment, has most often been discussed this paper purposefully considers intrinsic motivation and factors that build deeper engagement in students. This paper compares and contrasts the literature, and its link with the features of the Ontario College Graduate Certificate in Canada. More specifically, it examines the background and development of the credential in the context of the movement towards competency-based education. Findings – This paper postulates that colleges can uniquely provide applied and intrinsically engaging programming through credentials like the Graduate Certificate. The Graduate Certificate helps heighten graduate skills engagement, a culture of progression and scholarship, and ultimately competitiveness in today’s workplace. Practical implications – The findings of this paper have implications for colleges to distinguish themselves amongst post-secondary institutions as providers of specialized skills development in higher education, especially as competency-based education grows in importance. It also puts in to question how this type of engaging design can be further built in to post-secondary graduate curriculum. Originality/value – This paper illuminates innovative practice at the post-graduate level, as an example of a skills-based scholarly activity. It helps position colleges as providers of effective, competency and outcomes-based higher education. This paper can add value to practitioners looking to build similar programming, by combining this Graduate Certificate design with evidence-based factors that build student engagement, particularly intrinsic motivation.
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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 | 0.010 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.008 | 0.005 |
| Scholarly communication | 0.006 | 0.002 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.006 | 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 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".