Teaching cognitive skills improves learning in surgical skills courses: a blinded, prospective, randomized study.
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
OBJECTIVE: To investigate the teaching of cognitive skills within a technical skills course, we carried out a blinded, randomized prospective study. METHODS: Twenty-one junior residents (postgraduate years 1-3) from a single program at a surgical-skills training centre were randomized to 2 surgical skills courses teaching total knee arthroplasty. One course taught only technical skill and had more repetitions of the task (5 or 6). The other focused more on developing cognitive skills and had fewer task repetitions (3 or 4). All were tested with the Objective Structured Assessment of Technical Skill (OSATS) both before and after the course, as well as a pre- and postcourse error-detection exam and a postcourse exam with multiple-choice questions (MCQs) to test their cognitive skills. RESULTS: Both groups' technical skills as assessed by OSATS were equivalent, both pre- and postcourse. Taking their courses improved the technical skills of both groups (OSATS, p < 0.01) over their pre-course scores. Both groups demonstrated equivalent levels of knowledge on the MCQ exam, but the cognitive group scored better on the error-detection test (p = 0.02). CONCLUSIONS: Cognitive skills training enhances the ability to correctly execute a surgical skill. Furthermore, specific training and practice are required to develop procedural knowledge into appropriate cognitive skills. Surgeons need to be trained to judge the correctness of their actions.
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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 | 0.003 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it