Location! Location! Location! Comparing Simulation Debriefing Spaces
Bibliographic record
Abstract
Background Space is a commodity that is in high demand for both theoretical education and performance-based education. With the global nursing shortage, nursing educators are seeing an increase in their enrollment numbers making space more difficult to attain. We know that an integral component of nursing simulation is the use of deliberate reflection in the post-simulation debriefing. However, there have been very few comparisons and no studies were found on how the location of the debriefing effects the student experiences. Methods Using the Debriefing Experience Scale, a quasi-experimental design with a convenience sample of 4th-year undergraduate nursing students compared the experience of debriefing in one room versus using multiple rooms. Results Two areas were identified as statistically significant; "the importance of the debriefing to help make connections between theory and real life" and "the debriefing environment was physically comfortable." Conclusion Debriefing experiences were largely the same. The two items that were identified as different need to further be explored to determine how this might affect participants' simulation debriefing experience.
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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 | 0.018 | 0.140 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.002 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.003 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.014 | 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".