A student-initiated objective structured clinical examination as a sustainable cost-effective learning experience
Bibliographic record
Abstract
BACKGROUND: The objective structured clinical examination (OSCE) has gained widespread use as a form of performance assessment. However, opportunities for students to participate in practice OSCEs are limited by the financial, faculty and administrative investments required. OBJECTIVES: To determine the feasibility and acceptability of a student-run mock OSCE (MOSCE) as a learning experience for medical students of all 4 years. DESIGN: We conducted a five-station MOSCE for third-year students. This involved fourth-year students as examiners and first-/second-year students as standardized patients (SPs). Each examiner scored examinees using a checklist and global rating scale while providing written and verbal feedback. MOSCE stations and checklists were designed by students and reviewed by a faculty supervisor. Following the MOSCE, participants completed surveys which elucidated their perceptions on the roles they took during the MOSCE. RESULTS: Fifty examinees participated in the MOSCE. Of these, 42 (84%) consented to participate in the study and submitted completed questionnaires. Twenty-four examiners participated in the OSCE and consented to participate in the study, with 22 (92%) submitting completed questionnaires. Fifty-three of 60 SPs (88%) agreed to take part in this study, and 51 (85%) completed questionnaires. The internal consistency of the five-station OSCE was calculated as a Cronbach's alpha of 0.443. Students commented positively on having the opportunity to network and engage in mentorship activities and reinforce clinical concepts. CONCLUSIONS: Examinees, examiners, and SPs all perceived the MOSCE to be a beneficial learning experience. We found the MOSCE to be a feasible and acceptable means of providing additional OSCE practice to students prior to higher-stakes evaluations.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.002 | 0.061 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.002 |
| 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) | 0.004 | 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 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".