How are competency frameworks perceived and taught?: An exploratory study in the context of pharmacy education
Bibliographic record
Abstract
INTRODUCTION: Faculties of Pharmacy worldwide have to adapt their curriculum to accreditation criteria. The present study explored how the Association of Faculties of Pharmacy of Canada's (AFPC's) 2010 Educational Outcomes are perceived and taught at the Leslie Dan Faculty of Pharmacy (LDFP). These outcomes were adapted from the CanMeds Physician Competency Framework which describes both medical expert and non-expert roles. METHODS: We wondered if pharmacy would struggle, as medicine has, to integrate these roles into curricula in meaningful ways, given the absence of previous studies from Pharmacy. We conducted an exploratory interview study with 10 core faculty members in charge of courses where non-expert roles were taught. Data were analysed using conventional content analysis. RESULTS: Faculty members understood that the AFPC Outcomes are important for students, patients, and the profession of pharmacy, and some saw the roles as knowledge-based and teachable using content from academic disciplines. However, most saw them as skills taught informally or through clinical experience. They used the roles as a framing device to legitimize their course content and relied on informal role modelling to do most of the teaching. The few faculty members who taught content related to these roles had postgraduate education in a social science or humanities discipline. DISCUSSION: Similar to studies of Faculties of Medicine, our study highlights the difficulty of translating a role-based, competency framework into concrete, integrated curricula for students. Competency development should be explicitly embedded into the curriculum and cannot be left to individual instructors.
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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 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| 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".