Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Comparing the Survival Analysis of Two or More Groups01:20

Comparing the Survival Analysis of Two or More Groups

712
Survival analysis is a cornerstone of medical research, used to evaluate the time until an event of interest occurs, such as death, disease recurrence, or recovery. Unlike standard statistical methods, survival analysis is particularly adept at handling censored data—instances where the event has not occurred for some participants by the end of the study or remains unobserved. To address these unique challenges, specialized techniques like the Kaplan-Meier estimator, log-rank test, and...
712

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

SCALES-AI: A Supervision- and Context-Aligned Entrustment Framework for Integrating Artificial Intelligence Into Emergency Medicine Education.

AEM education and training·2026
Same author

Exploring Social Media Use Among Medical Students Applying for Residency Training: Cross-Sectional Survey Study.

JMIR medical education·2025
Same author

Weighing the gold standard: The breadth of emergency medicine core content covered by textbooks.

AEM education and training·2024
Same author

Beyond diversity and inclusion: Developing a research agenda for anti-racism in emergency medicine education.

AEM education and training·2023
Same author

How do emergency medicine applicants evaluate residency programs in the post-COVID-19 era?

AEM education and training·2022
Same author

Sex Differences in Substance Use and Misuse: A Toxicology Investigators' Consortium (ToxIC) Registry Analysis.

Substance abuse and rehabilitation·2020
Same journal

Medical Student Preparedness to Counsel Parents on Childhood Vaccines and Address Vaccine Hesitancy: A Cross-Sectional Survey.

Journal of medical education and curricular development·2026
Same journal

Raising the bar: Can an Online Module With a Validated Tool Improve Clerkship Evaluations?

Journal of medical education and curricular development·2026
Same journal

Educational Effects of Training With a Virtual Reality-Based Objective Structured Clinical Examination Software.

Journal of medical education and curricular development·2026
Same journal

Caring for Children in Immigrant Families and Children in Low-Income Families: A Cross-Sectional Survey of Pediatric Residents.

Journal of medical education and curricular development·2026
Same journal

Escalating Research Output After the USMLE Step 1 Pass/Fail Transition: Implications for Equity, Ethics, and the Orthopaedic Residency Match.

Journal of medical education and curricular development·2026
Same journal

Gender and Educational Pathway Differences in 360-Degree Evaluations During Postgraduate Year Training in Taiwan.

Journal of medical education and curricular development·2026
See all related articles

Related Experiment Video

Updated: May 5, 2026

Setting Up a Stroke Team Algorithm and Conducting Simulation-based Training in the Emergency Department - A Practical Guide
09:52

Setting Up a Stroke Team Algorithm and Conducting Simulation-based Training in the Emergency Department - A Practical Guide

Published on: January 15, 2017

17.1K

Exploring Optimal Group Sizes for Learning in Medical Simulation: A Systematic Review.

Cassandra Mackey1, Simi Jandu1, James Fidrocki1

  • 1University of Massachusetts Chan Medical School. Department of Emergency Medicine, Worcester, MA, US.

Journal of Medical Education and Curricular Development
|April 7, 2025
PubMed
Summary
This summary is machine-generated.

Smaller groups in simulation training enhance learning efficiency and learner confidence. For procedural skills, optimal group sizes range from 2 to 4, with effectiveness decreasing for groups larger than 6.

Keywords:
group sizemedical educationmedical simulation

More Related Videos

Simulator Training for Endovascular Neurosurgery
08:08

Simulator Training for Endovascular Neurosurgery

Published on: May 6, 2020

3.5K
Creation of a High-Fidelity, Low-Cost, Intraosseous Line Placement Task Trainer via 3D Printing
11:45

Creation of a High-Fidelity, Low-Cost, Intraosseous Line Placement Task Trainer via 3D Printing

Published on: August 17, 2022

1.9K

Related Experiment Videos

Last Updated: May 5, 2026

Setting Up a Stroke Team Algorithm and Conducting Simulation-based Training in the Emergency Department - A Practical Guide
09:52

Setting Up a Stroke Team Algorithm and Conducting Simulation-based Training in the Emergency Department - A Practical Guide

Published on: January 15, 2017

17.1K
Simulator Training for Endovascular Neurosurgery
08:08

Simulator Training for Endovascular Neurosurgery

Published on: May 6, 2020

3.5K
Creation of a High-Fidelity, Low-Cost, Intraosseous Line Placement Task Trainer via 3D Printing
11:45

Creation of a High-Fidelity, Low-Cost, Intraosseous Line Placement Task Trainer via 3D Printing

Published on: August 17, 2022

1.9K

Area of Science:

  • Medical Education
  • Simulation Technology
  • Learning Sciences

Background:

  • Simulation is a key teaching method in medical education, enhancing learner competence and confidence.
  • No standardized learner group size exists for simulation-based training.
  • Optimizing group size is crucial for balancing training efficiency and efficacy.

Purpose of the Study:

  • To investigate the optimal group size for simulation-based learning.
  • To identify best practices for maximizing efficiency and efficacy in simulation training.
  • To provide evidence-based recommendations for learner group sizes in medical education.

Main Methods:

  • Systematic review following Preferred Reporting Items for Systematic Reviews and Meta-Analysis (PRISMA) guidelines.
  • Screening of citations and full-text articles by emergency medicine educators.
  • Quality assessment using the Medical Education Research Study Quality Instrument (MERSQI).

Main Results:

  • Seventeen of 34 identified articles were relevant, employing diverse study designs.
  • Smaller group sizes generally improved learning outcomes.
  • Optimal group size varied by learning objective: 2-4 learners for procedural skills, larger groups for debriefing.

Conclusions:

  • Smaller group sizes (2-4) are more effective for procedural skills simulation.
  • Effectiveness in simulation training declines with more than 6 participants.
  • Curriculum design should consider simulation type and objectives to optimize group size for enhanced learning outcomes.