Integrated e-Learning for Shoulder Anatomy and Clinical Examination Skills in First-Year Medical Students: Randomized Controlled Trial
Bibliographic record
Abstract
Background: Applying functional anatomy to clinical examination techniques in shoulder examination is challenging for physicians at all learning stages. Anatomy teaching has shifted toward a more function-oriented approach and has increasingly incorporated e-learning. There is limited evidence on whether the integrated teaching of professionalism, clinical examination technique, and functional anatomy via e-learning is effective. Objective: This study aimed to investigate the impact of an integrated blended learning course on the ability of first-year medical students to perform a shoulder examination on healthy volunteers. Methods: Based on Kolb's experiential learning theory, we designed a course on shoulder anatomy and clinical examination techniques that integrates preclinical and clinical content across all 4 stages of Kolb's learning cycle. The study is a randomized, observer-blinded controlled trial involving first-year medical students who are assigned to one of two groups. Both groups participated in blended learning courses; however, the intervention group's course combined clinical examination, anatomy, and professional behavior and included a peer-assisted practice session as well as a flipped classroom seminar. The control group's course combined an online lecture with self-study and self-examination. After completing the course, participants uploaded a video of their shoulder examination. The videos were scored by 2 blinded raters using a standardized examination checklist with a total score of 40. Results: Thirty-eight medical students were included from the 80 participants needed based on the power calculation. Seventeen intervention and 14 control students completed the 3-week study. The intervention group students scored a mean of 34.71 (SD 1.99). The control students scored a mean of 29.43 (SD 5.13). The difference of means was 5.3 points and proved to be statistically significant (P<.001; 2-sided Mann-Whitney U test). Conclusions: The study shows that anatomy, professional behavior, and clinical examination skills can also be taught in an integrated blended learning approach. For first-year medical students, this approach proved more effective than online lectures and self-study.
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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 | 0.006 | 0.031 |
| 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 | 0.001 | 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 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".