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

Modeling and Similitude01:12

Modeling and Similitude

453
Scaled modeling is a fundamental technique in engineering, enabling the study of large and complex systems by creating smaller, manageable replicas that recreate critical characteristics of the original. In hydrology and civil infrastructure, for example, scaled models of dams help analyze water flow, turbulence, and pressure. This method allows for accurate predictions of real-world behavior within a controlled environment, significantly reducing the cost and time involved in full-scale...
453
Group Design02:01

Group Design

10.0K
The most basic experimental design involves two groups: the experimental group and the control group. The two groups are designed to be the same except for one difference— experimental manipulation. The experimental group gets the experimental manipulation—that is, the treatment or variable being tested—and the control group does not. Since experimental manipulation is the only difference between the experimental and control groups, we can be sure that any differences between...
10.0K
Student t Distribution01:31

Student t Distribution

11.6K
The population standard deviation is rarely known in many day-to-day examples of statistics. When the sample sizes are large, it is easy to estimate the population standard deviation using a confidence interval, which provides results close enough to the original value. However, statisticians ran into problems when the sample size was small. A small sample size caused inaccuracies in the confidence interval.
The Student t distribution was developed by William S. Goset (1876–1937) of the...
11.6K
Typical Model Studies01:30

Typical Model Studies

519
Fluid mechanics model studies often utilize scaled-down systems to predict fluid behavior in full-scale environments, such as river flows, dam spillways, and structures interacting with open surfaces. Maintaining Froude number similarity in river models is crucial, as it replicates surface flow features like wave patterns and velocities.
519
Random Sampling Method01:09

Random Sampling Method

13.7K
Sampling is a technique to select a portion (or subset) of the larger population and study that portion (the sample) to gain information about the population. Data are the result of sampling from a population. The sampling method ensures that samples are drawn without bias and accurately represent the population. Because measuring the entire population in a study is not practical, researchers use samples to represent the population of interest. Among the various sampling methods used by...
13.7K
Surveys02:16

Surveys

16.3K
Often, psychologists develop surveys as a means of gathering data. Surveys are lists of questions to be answered by research participants, and can be delivered as paper-and-pencil questionnaires, administered electronically, or conducted verbally. Generally, the survey itself can be completed in a short time, and the ease of administering a survey makes it easy to collect data from a large number of people.
16.3K

You might also read

Related Articles

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

Sort by
Same author

Teaching sustainability through disaster simulation: A framework for planetary health education.

Advances in simulation (London, England)·2026
Same author

Future of Biometric Technology in Healthcare Simulation.

Simulation in healthcare : journal of the Society for Simulation in Healthcare·2025
Same author

Correction: TIDES: examining the influence of temporal individual differences on multitasking in educational simulation.

Advances in simulation (London, England)·2023
Same author

Lasater clinical judgment rubric reliability for scoring clinical judgment after observing asynchronous simulation and feasibility/usability with learners.

Nurse education today·2023
Same author

Effect of Multiple-Patient Simulation on Baccalaureate Nursing Students' Anxiety and Self-confidence: A Pilot Study.

Nurse educator·2023
Same author

Creating Inclusive Learning Environments for Chinese and American Pediatric Nursing Students.

Clinical simulation in nursing·2022
Same journal

Three-Dimensional Printing: Collaborative Nurse-Led Research.

Annual review of nursing research·2021
Same journal

Virtual and Augmented Realities in Nursing Education: State of the Science.

Annual review of nursing research·2021
Same journal

Professional Development for Simulation Education.

Annual review of nursing research·2021
Same journal

Simulation-Based Operations.

Annual review of nursing research·2021
Same journal

Evaluation of Simulation Outcomes.

Annual review of nursing research·2021
Same journal

Evidence-Based Debriefing.

Annual review of nursing research·2021
See all related articles

Related Experiment Video

Updated: Nov 21, 2025

A Virtual Simulation Experiment of Mechanics: Material Deformation and Failure Based on Scanning Electron Microscopy
06:54

A Virtual Simulation Experiment of Mechanics: Material Deformation and Failure Based on Scanning Electron Microscopy

Published on: January 20, 2023

3.3K

Simulation in Undergraduate Education.

Ashley E Franklin, Nicole Petsas Blodgett

    Annual Review of Nursing Research
    |January 12, 2021
    PubMed
    Summary
    This summary is machine-generated.

    Simulation in nursing education offers a safe and effective method for achieving learning objectives. This review explores advancements, theories, and best practices in integrating simulation into undergraduate nursing programs for improved outcomes.

    More Related Videos

    Visualizing Hyporheic Flow Through Bedforms Using Dye Experiments and Simulation
    09:49

    Visualizing Hyporheic Flow Through Bedforms Using Dye Experiments and Simulation

    Published on: November 18, 2015

    12.5K
    Interactive and Visualized Online Experimentation System for Engineering Education and Research
    08:35

    Interactive and Visualized Online Experimentation System for Engineering Education and Research

    Published on: November 24, 2021

    2.8K

    Related Experiment Videos

    Last Updated: Nov 21, 2025

    A Virtual Simulation Experiment of Mechanics: Material Deformation and Failure Based on Scanning Electron Microscopy
    06:54

    A Virtual Simulation Experiment of Mechanics: Material Deformation and Failure Based on Scanning Electron Microscopy

    Published on: January 20, 2023

    3.3K
    Visualizing Hyporheic Flow Through Bedforms Using Dye Experiments and Simulation
    09:49

    Visualizing Hyporheic Flow Through Bedforms Using Dye Experiments and Simulation

    Published on: November 18, 2015

    12.5K
    Interactive and Visualized Online Experimentation System for Engineering Education and Research
    08:35

    Interactive and Visualized Online Experimentation System for Engineering Education and Research

    Published on: November 24, 2021

    2.8K

    Area of Science:

    • Nursing Education
    • Simulation-Based Learning

    Background:

    • Simulation is crucial for undergraduate nursing education.
    • It provides a safe and controlled environment for skill development.

    Purpose of the Study:

    • To review advancements in simulation for undergraduate nursing education.
    • To highlight foundational theories, research, and best practices.
    • To outline curriculum integration strategies and outcome examples.

    Main Methods:

    • Literature review of simulation in nursing education.
    • Analysis of educational theories and policy statements.
    • Examination of curriculum integration approaches.

    Main Results:

    • Identified key steps in advancing simulation in nursing programs.
    • Highlighted the role of educational theories and research.
    • Presented examples of participant, course, and program outcomes.

    Conclusions:

    • Simulation is integral to modern undergraduate nursing education.
    • Effective integration requires attention to theory, research, and policy.
    • Simulation positively impacts learning at multiple levels.