Improving nursing student cultural competence: Comparing simulation to case-based learning
Bibliographic record
Abstract
Background: Cultural competence encompasses knowledge, skills, and comfort in caring for patients from diverse cultures and is a core competency in providing patient-centered care. Simulation provides an opportunity to expose students to diverse cultures. Case-based learning has been effective in improving nursing student communication and problem-solving skills, but no research describes its use in cultural education. The purpose of this study was to compare the effect of simulation to case-based learning on nursing students’ perceived cultural competence, awareness, and sensitivity.Methods: Eighty baccalaureate nursing students were randomly assigned to a simulation experience or case-based learning exercise. The Cultural Competence Assessment Survey was used to measure perceived cultural competence, awareness, and sensitivity. Results: Both simulation and case-based learning improved nursing student perceived cultural awareness and sensitivity. Case-based learning improved perceived cultural competence.Conclusions: Integration of cultural learning opportunities into nursing education provides a foundation for continued development of cultural competence.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 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".