Divergence in student and educator conceptual structures during auscultation training
Bibliographic record
Abstract
CONTEXT: Simulation-based medical education allows trainees to engage in self-regulated learning (SRL), yet research aimed at elucidating the mechanisms of SRL in this context is relatively absent. We compared 'unguided' SRL with 'directed' SRL (DSRL), wherein learners followed an expert-designed booklet. METHODS: Year 1 medical students (n = 37) were randomly assigned to practise identifying seven cardiac murmurs using a simulator and video only (SRL group) or a simulator and video plus the booklet (DSRL group). All participants completed a 22-item test 3 weeks later. To compare interventions, we analysed students' diagnostic accuracy. As a novel source of evidence, we documented how participants autonomously sequenced the seven murmurs during initial and delayed practice sessions. In addition, we surveyed clinical educators (n = 17) to find out how they would sequence their teaching of these murmurs. RESULTS: The DSRL group used 50% more training time than the SRL group (p < 0.001). The groups' diagnostic accuracy, however, did not differ significantly on the post-test, retention test or transfer test items (p > 0.12). Despite practising with the expert-defined 'timing-based' approach to murmur diagnosis (i.e. systolic versus diastolic), 84% of DSRL participants implemented a location-based approach (i.e. practising aortic murmurs separately from mitral murmurs) during a second, unguided practice session. Notably, most SRL participants used that same approach spontaneously. By contrast, clinical educators were split in their use of the timing-based (n = 10) and the location-based (n = 6) approaches. Chi-squared analyses suggested educators' conceptions for organising murmurs differed significantly from students' conceptions. CONCLUSIONS: Contrary to our predictions, directing students' SRL produced no additional benefit and increased their practice time. Our findings suggest one potential source of these results was a divergence between student and educator conceptions for structuring the practice of cardiac auscultation skills. This phenomenon has not been well articulated in the medical education literature, and may have important implications in many (especially technology-mediated) educational contexts.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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 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".