Formal Training Efforts to Develop Simulation Educators
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
STATEMENT: Formal training for educators who use simulation-based education (SBE) is required by standards of best practice, simulation guidelines, regulatory, and accrediting bodies. Training efforts to establish educator competency for SBE are being offered. However, a systematic review of this body of literature has yet to be conducted. The purpose of this integrative review was to appraise formal training efforts of educators who use SBE. The aims were to summarize the training topics, describe the structure of training programs, and explore evaluation methods of educators. The New World Kirkpatrick Model guided the review. A PRISMA search approach yielded 2007 citations of which 38 met inclusion criteria. Analysis supports a formalized training process that uses a combination of didactic material, time for repetitive practice, and ongoing feedback with longitudinal and scaffolded delivery approaches. An identified gap in the literature is threshold levels for determining competency of educators. Recommendations for planning simulation training programs are provided.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.006 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.003 | 0.002 |
| Bibliometrics | 0.001 | 0.007 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.003 |
| 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