ReviewAEM education and training2025
Bridging the gap: Leveraging simulation expertise to improve active learning environments.
Review in AEM education and training, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
1 citing paper in PubMed.
- Bridging the gap: Leveraging simulation expertise to improve active learning environments.AEM education and training · 2025Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
11 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Introduction: Active learning engages learners in constructing knowledge through interactive strategies such as simulation, small-group discussion, and peer instruction. Although recognized as a superior approach to traditional passive learning, its adoption has been inconsistent. Barriers include reliance on traditional lectures, lack of training, and limited time to develop materials. Simulation educators have a unique skill set that may inform and support active learning initiatives. Methods: Fifteen emergency medicine simulation experts convened to define the unique skill set of simulation educators and identify transferable simulation-based medical education (SBME) skills and concepts to promote effective active learning beyond the simulation lab. Workgroup members are simulation education directors who have undergone specialized training in SBME. During biweekly meetings over 6 months, workgroup members reviewed primary literature in SBME and active learning, along with relevant simulation educator training materials. Objectives were achieved through iterative review, group conceptualization, and expert consensus. Unique treatment: The increasing prevalence of SBME in medical education, along with the growth of simulation fellowships, has produced a group of education experts with shared competencies. Simulation educators acquire expertise in psychological safety, facilitation, communication, and debriefing, through specialized training and extensive experience. These skills are critical for active learning environments where learners benefit from structured, engaging, and psychologically safe experiences. Implications for educators: Key transferable SBME topics were identified for use in active learning environments outside of the simulation lab: (1) psychological safety, (2) facilitation strategies, and (3) communication techniques. Transferable tools and concepts were identified to promote efficacy and learner engagement during active learning in diverse environments. Simulation educators' expertise is an underutilized resource for faculty development initiatives aimed at advancing active learning. This work advocates for leveraging simulation educators' skills to close the active learning implementation gap, enhance learner outcomes, and meet the evolving needs of contemporary medical education.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.