Medical students’ perception of dyad practice
Bibliographic record
Abstract
Training in pairs (dyad practice) has been shown to improve efficiency of clinical skills training compared with single practice but little is known about students' perception of dyad practice. The aim of this study was to explore the reactions and attitudes of medical students who were instructed to work in pairs during clinical skills training. A follow-up pilot survey consisting of four open-ended questions was administered to 24 fourth-year medical students, who completed four hours of dyad practice in managing patient encounters. The responses were analyzed using thematic analysis. The students felt dyad practice improved their self-efficacy through social interaction with peers, provided useful insight through observation, and contributed with shared memory of what to do, when they forgot essential steps of the physical examination of the patient. However, some students were concerned about decreased hands-on practice and many students preferred to continue practising alone after completing the initial training. Dyad practice is well received by students during initial skills training and is associated with several benefits to learning through peer observation, feedback and cognitive support. Whether dyad training is suited for more advanced learners is a subject for future research.
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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 | 0.003 | 0.011 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 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".