Pre-simulation Preparation Preferences of Senior Nursing Students: Virtual Simulation Games Versus Traditional Case Studies
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Background Presimulation preparation is critical to prepare learners to participate fully in clinical simulations; however, many do not complete assigned presimulation activities. Research Question Which presimulation preparation activities will senior nursing students choose and perceive as helpful? Methods A quasi-experimental study evaluated senior nursing student (n = 115) pre-simulation preparation preferences. Students had access to eight activities including a case study and a virtual simulation game (VSG). Participants indicated which activities they completed, and rated the case study and VSG in terms of usability, engagement, and impact on learning. Results Overall, 57% of participants completed the paper-based case study and 37% played the VSG. Participation in any preparation resulted in significant improvements in competence (t = 2.3; p = .02). Learners rated VSG higher than case study in terms of usability (t = 2.6; p = .01), engagement (t = 2.8; p = .01) and impact on learning (t = 2.4; p = .02). Conclusion Results revealed nursing students have different preferences for pre-simulation preparation. Although more students completed the case study than the VSG, those who played the game rated it higher. This supports providing a choice in presimulation preparation activities.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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 it