Curriculum Evaluation: Linking Curriculum Objectives to Essential Competencies
Bibliographic record
Abstract
BACKGROUND: The essential competencies of occupational therapy practice are agreed upon and documented (ACOTRO, 2003), yet they have not been used to evaluate educational programs. PURPOSE: To evaluate the match between the planned curriculum and the nationally recognized competencies that define safe, effective, and ethical practice. METHODS: Utilizing a comparative and systematic approach, course learning objectives in the approved curriculum map were matched to the ACOTRO (2003) competencies. FINDINGS: A total of 218 links were made between the 179 learning objectives and the 30 essential competencies. There were no links to three competencies. Learning objectives were not equally represented across the ACOTRO units; initial analyses indicate the distribution is likely appropriate. IMPLICATIONS: This novel evaluative process allowed critical appraisal and subsequent minor revision of Dalhousie curriculum. The appropriate, relative weighting of curriculum content is unknown and is a professional issue for discussion by regulators, educators, and the profession at large.
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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 | 0.062 | 0.200 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.004 | 0.003 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".