Perception of COVID-19 Impact on Canadian Occupational Therapy Curricula: Academic and Fieldwork
Bibliographic record
Abstract
Background. Delivery of occupational therapy education programs in Canada faced significant disruptions and adaptations because of the COVID-19 pandemic. Curriculum changes were made rapidly under extreme conditions. Purpose. To document and explore changes to curricula (academic and fieldwork), instructional, and assessment methods implemented by Canadian occupational therapy programs in response to the pandemic and capture their perceived impact on student learning. Method. This convergent mixed method design study employed a cross-sectional descriptive survey followed by a member check focus group. Participant recruitment targeted Canadian occupational therapy university program directors, curriculum chairs, and fieldwork coordinators. Findings. Results highlight curriculum modifications included shifting from in-person to online delivery and re-sequencing or deferring in-person components. Fieldwork placements were similarly affected and included adoption of simulations and telepractice. Implications. The development of interpersonal “soft skills” are perceived as being the most disrupted, but the impact of student learning on actual practice is not yet known.
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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 | 0.005 | 0.014 |
| 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 | 0.003 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".