Training simulated participants for role portrayal and feedback practices in communication skills training: A BEME scoping review: BEME Guide No. 86
Bibliographic record
Abstract
BACKGROUND: Providing feedback is a key aspect of simulated participants' (SPs) educational work. In teaching contexts, the ability to provide feedback to learners is central to their role. Suboptimal feedback practices may deny learners the valuable feedback they need to learn and improve. This scoping review systematically maps the evidence related to SPs' role as educators and identifies how SPs prepare for their role and feedback practices. METHODS: The authors conducted a scoping review and included a group of international stakeholders with experience and expertise in SP methodology. Five online databases were systematically searched and ERIC, MedEdPortal and MedEdPublish were hand searched to identify relevant studies. Inclusion/exclusion criteria were developed. Data screening and subsequently data charting were performed in pairs. The results of data charting were thematically analysed including categories relating to the Association of SP Educators (ASPE) Standards of Best Practice (SOBP). RESULTS: From 8179 articles identified for the title and abstract screening, 98 studies were included. Studies reported the benefit of SPs' authentic role portrayal and feedback interactions for learners and on the reported learning outcomes. Data was heterogeneous with a notable lack of consistency in the detail regarding the scenario formats for communication skills training interventions, SP characteristics, and approaches to training for feedback and role portrayal. CONCLUSIONS: The published literature has considerable heterogeneity in reporting how SPs are prepared for role portrayal and feedback interactions. Additionally, our work has identified gaps in the implementation of the ASPE SOBP, which promotes effective SP-learner feedback interactions. Further research is required to identify effective applications of SP methodology to prepare SPs for their role as educators.
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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 | 0.037 | 0.094 |
| Meta-epidemiology (narrow) | 0.002 | 0.002 |
| Meta-epidemiology (broad) | 0.005 | 0.005 |
| Bibliometrics | 0.017 | 0.014 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.005 | 0.008 |
| Open science | 0.004 | 0.006 |
| Research integrity | 0.006 | 0.003 |
| Insufficient payload (model declined to judge) | 0.019 | 0.005 |
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".