Administration of a Canadian critical appraisal exam to pharmacy students in the Middle East
Bibliographic record
Abstract
Introduction/Context: Critical appraisal training of pharmacy students is important in the development of knowledge and skills necessary for the application of evidence-based practice post-licensure. The objectives of this study were to evaluate critical appraisal skills of students in Qatar and to compare performance across applicable academic years. Description of Assessment: Pharmacy students in third year, fourth year, and Doctor of Pharmacy students at Qatar University completed an application-based critical appraisal exam developed by faculty from a Canadian University. Results were categorised according to Bloom's taxonomy and compared by academic year. Evaluation: The median score of students was 30.5%. Students performed best on questions categorised as comprehension and lowest on evaluation questions. A significant improvement in performance as students progressed through the curriculum was observed. Implementation and Future Plans: Findings will be used to refine the current critical appraisal course series to increase emphasis on application of critical appraisal skills. 2016 FIP.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".