From acting to simulation: Contributions of theatre students to healthcare simulation
Bibliographic record
Abstract
The use of student theaters as simulated patients (SP) can improve the learning process, but studies on the SP methodology in Costa Rica are limited. Thus, this study investigated the contribution of theatre students as SP, as perceived by faculty and nursing students. This study used the action-research framework and the data collection included observational data and qualitative interviews. The data were analyzed through three phases: pre-analysis, exploration of the material, and treatment/interpretation. Participants included 20 undergraduate nursing students and eight faculty members. The involvement of actors in the simulation increased the psychological fidelity and realism of the simulation, leading to deeper experiential training. Therefore, the inclusion of theater students as SP with acting training in nursing undergraduate or postgraduate courses can be an effective strategy to promote emancipatory learning and has potential for developing critical-reflective thinking skills when used in a constructivist pedagogical practice.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.005 | 0.027 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.003 | 0.003 |
| Scholarly communication | 0.006 | 0.001 |
| Open science | 0.001 | 0.006 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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 source (direct Gemma or distilled Codex), 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".