Development of Integrated clinical skills and urinary system anatomy and embryology modules (536.2)
Bibliographic record
Abstract
Many students find memorizing urinary system anatomy and especially embryology materials difficult and daunting, and often find themselves feeling overwhelmed by purely memorizing the difficult concepts of the urinary system anatomy and embryology. The overall objective of this study was to encourage students to adopt a more anatomical approach to clinical skills and also to show explicitly the relevance of urinary system anatomy and embryology, thus moving away from rote memorization of physical exam skills and anatomical knowledge. In order to accomplish the goal of interactive case‐based modules we used the Articulate Engage software suite to create a module that progresses slide by slide in order to encourage a logical flow from patient presentation through to treatment. Using Articulate we were also able to add interactive labeled diagrams to review urinary anatomy and embryology, video and pictures to study clinical skills and integrated quizzes to test student knowledge. The integrated modules were evaluated objectively from the survey questionnaire results and subjectively from the comments from the results. Before the modules 18.5% of students felt they knew the urinary system anatomy and embryology materials well or very well. After the modules 57.5% of students felt they knew the urinary system anatomy and embryology materials well or very well. Over 93.8% of students surveyed strongly or very strongly wanted to see more modules like this.
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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 | 0.001 | 0.000 |
| 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) | 0.000 | 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".