Potential of feedback during objective structured clinical examination to evoke an emotional response in medical students in Canada
Bibliographic record
Abstract
Feedback has been shown to be an important driver for learning. However, many factors, such as the emotional reactions feedback evokes, may impact its effect. This study aimed to explore medical students' perspectives on the verbal feedback they receive during an objective structured clinical examination (OSCE); their emotional reaction to this; and its impact on their subsequent performance. To do this, medical students enrolled at 4 Canadian medical schools were invited to complete a web-based survey regarding their experiences. One hundred and fifty-eight participants completed the survey. Twenty-nine percent of respondents asserted that they had experienced emotional reactions to verbal feedback received in an OSCE setting. The most common emotional responses reported were embarrassment and anxiousness. Some students (n=20) reported that the feedback they received negatively impacted subsequent OSCE performance. This study demonstrates that feedback provided during an OSCE has the ability to evoke an emotional response in students and to potentially impact subsequent performance.
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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 | 0.002 | 0.016 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.002 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".