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

Observational Learning01:12

Observational Learning

111
Albert Bandura's observational learning, also known as imitation or modeling, occurs when a person observes and imitates another's behavior. It is a quicker process than operant conditioning. A well-known example is the Bobo doll study, where children who saw an adult acting aggressively towards the doll were more likely to act aggressively when left alone, compared to those who observed a nonaggressive adult. Many psychologists view observational learning as a form of latent learning...
111
Modeling in Therapy01:26

Modeling in Therapy

39
Modeling, a key technique in therapy, uses observational learning to help clients acquire and practice new skills by watching therapists demonstrate desired behaviors. This approach, rooted in Albert Bandura's concept of vicarious learning, plays a significant role in therapeutic interventions for various psychological conditions, including social anxiety, ADHD, and depression.
Participant Modeling
Participant modeling involves therapists demonstrating calm and effective behaviors in...
39
Modeling and Similitude01:12

Modeling and Similitude

165
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...
165
Steps in the Modeling Process01:14

Steps in the Modeling Process

159
Albert Bandura's theory of observational learning identifies four critical processes: attention, retention, motor reproduction, and reinforcement or motivation.
Attention is the first necessary component for observational learning. It involves focusing on what the model is doing and saying. For example, if you decide to take a drawing class to enhance your skills, you need to pay close attention to the instructor's words and hand movements. The characteristics of the model significantly...
159
Social Scripts02:10

Social Scripts

9.4K
People tend to know what behavior is expected of them in specific, familiar settings. A script is a person’s knowledge about the sequence of events expected in a specific setting (Schank & Abelson, 1977). Essentially, scripts are a particular kind of schema, one containing default values for the features within an event. In the restaurant example, the script's features include the props (e.g., tables, menu, food, and money), the roles to be played (e.g., customer and waiter),...
9.4K
Factorial Design02:01

Factorial Design

13.0K
Factorial Analysis is an experimental design that applies Analysis of Variance (ANOVA) statistical procedures to examine a change in a dependent variable due to more than one independent variable, also known as factors. Changes in worker productivity can be reasoned, for example, to be influenced by salary and other conditions, such as skill level. One way to test this hypothesis is by categorizing salary into three levels (low, moderate, and high) and skills sets into two levels (entry level...
13.0K

You might also read

Related Articles

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

Sort by
Same author

Health Literacy and Self-Care Maintenance in Posttransplantation Diabetes Mellitus Among Kidney Transplant Recipients: The Mediating Role of Self-Care Confidence.

Research and theory for nursing practice·2026
Same author

Stroke health literacy, patient self-care ability, and educational preferences among primary caregivers of ischemic stroke patients.

Disability and rehabilitation·2026
Same author

Effects of distinct prebriefing and debriefing on learning outcomes in advanced life support training for ward nurses: A randomized controlled trial.

Nurse education today·2026
Same author

Associations between prebriefing quality and satisfaction in simulation-based learning among nursing students: A structural equation model.

Nurse education today·2026
Same author

A double-masked randomised actively controlled trial of KONTAKT™ social skills toolbox for Australian autistic children.

Autism : the international journal of research and practice·2026
Same author

Effects of a theory-based advanced life support booster training program on competency retention in nursing students: A randomized controlled trial.

Nurse education in practice·2026

Related Experiment Video

Updated: May 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

2.1K

Influencing factors and learning outcomes in virtual simulation learning experiences: A structural equation modeling.

Young Sook Roh1, Kie In Jang2, Elinda Ai Lim Lee3

  • 1Red Cross College of Nursing, Chung-Ang University, 84 Heukseok-ro, Dongjak-gu, Seoul 06974, Republic of Korea.

Nurse Education Today
|March 18, 2025
PubMed
Summary

Virtual simulations enhance nursing education, but the learning process and reflective thinking are key to improving student outcomes. Focusing on these factors optimizes virtual simulation effectiveness.

Keywords:
Influencing factorsLearning outcomesNursing studentsReflective thinkingSimulation fidelityStructural equation modelingVirtual simulation

More Related Videos

Author Spotlight: Enhancing Engineering Education via WebVR-Based Online Laboratories
04:15

Author Spotlight: Enhancing Engineering Education via WebVR-Based Online Laboratories

Published on: February 23, 2024

897
A Networked Desktop Virtual Reality Setup for Decision Science and Navigation Experiments with Multiple Participants
06:28

A Networked Desktop Virtual Reality Setup for Decision Science and Navigation Experiments with Multiple Participants

Published on: August 26, 2018

5.9K

Related Experiment Videos

Last Updated: May 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

2.1K
Author Spotlight: Enhancing Engineering Education via WebVR-Based Online Laboratories
04:15

Author Spotlight: Enhancing Engineering Education via WebVR-Based Online Laboratories

Published on: February 23, 2024

897
A Networked Desktop Virtual Reality Setup for Decision Science and Navigation Experiments with Multiple Participants
06:28

A Networked Desktop Virtual Reality Setup for Decision Science and Navigation Experiments with Multiple Participants

Published on: August 26, 2018

5.9K

Area of Science:

  • Nursing Education
  • Health Professions Education
  • Simulation-Based Learning

Background:

  • Virtual simulations offer significant cognitive, psychomotor, and affective learning benefits for students.
  • Limited research exists on the causal links between virtual simulation learning outcomes and influencing factors in nursing education.

Purpose of the Study:

  • To investigate causal relationships between virtual simulation learning outcomes and factors like the learning process, control/active learning, cognitive benefits, and reflective thinking.
  • To explore these relationships among nursing students within a virtual learning environment.

Main Methods:

  • Cross-sectional study design involving 208 Korean nursing students.
  • Utilized a self-administered questionnaire to assess simulation fidelity, learning process, control/active learning, cognitive benefits, reflective thinking, and learning outcomes.
  • Structural equation modeling was employed to analyze the hypothesized model.

Main Results:

  • Simulation fidelity significantly predicted the learning process, control/active learning, cognitive benefits, and reflective thinking.
  • The learning process and reflective thinking were significant predictors of overall learning outcomes.
  • Control and active learning, and cognitive benefits did not significantly predict learning outcomes.

Conclusions:

  • Nurse educators should prioritize pedagogical strategies that enhance the learning process and reflective thinking.
  • These strategies are crucial for improving nursing students' learning outcomes in virtual simulation experiences.