Building Partnerships Using Student Role Models for Neonatal Resuscitation Simulation
Bibliographic record
Abstract
BACKGROUND: Although the use of simulation in schools of nursing is becoming common, its use in clinical practice is still emerging. This project explored how students could contribute to the clinical unit by supporting learning among experienced registered nurses who are new to simulation. METHODS: This quasi-experimental pilot study used a convenience sample of all perinatal nurses who participated in a neonatal resuscitation program renewal course in the fall quarter at a Midwestern U.S. hospital (N = 88). Satisfaction and confidence in learning were compared between groups of nurses who watched a simulation DVD with either instructors or students as team members before participating in a neonatal resuscitation scenario. RESULTS: The participants viewed the simulation as a positive experience. There was no significant difference in satisfaction or confidence with the simulation between the two groups. CONCLUSION: There may be opportunities for student nurses to make positive contributions to staff education on clinical units through simulation.
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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 | 0.002 | 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 | 0.001 |
| 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".