3. Evolving Expectations for Teaching in Higher Education in Canada
Bibliographic record
Abstract
Although many Canadian universities offer graduate level training or certificates on teaching in higher education, there is no national framework of expectations or provision for national certification of post-secondary teachers. There are models of post-secondary teaching expectations in the United Kingdom and in elementary and secondary systems in both the US and Canada. In addition, many US universities have competency-based graduate teaching assistant programs. The province of Ontario has adopted a mandatory framework of learning expectations for Baccalaureate and graduate degrees for all publicly funded universities. The question we address in this essay is: Has our teacher training practice evolved to the point where we should look ahead to consider formalizing expectations of effective post-secondary teaching practices through a national framework?In our view, there is now sufficient interest within the Society for Teaching and Learning Higher Education (STLHE) to establish a working group that would initiate a national consultation to discuss the process and structure for formulating an enabling framework.
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How this classification was reachedexpand
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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.002 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".