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 in Therapy01:26

Modeling in Therapy

26
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...
26
Cognitive Development During Adulthood01:30

Cognitive Development During Adulthood

22
Cognitive development continues throughout adulthood, undergoing significant shifts across early, middle, and late stages. Individual transition occurs from adolescent idealism to pragmatic and adaptable thinking in early adulthood. During this period, individuals learn to integrate personal beliefs with the recognition that other perspectives are equally valid. Exposure to the complexities of modern society, diverse experiences, and higher education contribute to this adaptive thought process,...
22
Cognitive Learning01:21

Cognitive Learning

91
Cognitive learning is based on purposive behavior, incidental learning, and insight learning.
E. C. Tolman's theory of purposive behavior emphasizes that much behavior is goal-directed. He argued that to understand behavior, we must look at the entire sequence of actions leading to a goal. For instance, high school students study hard, not just due to past reinforcement but also to achieve the goal of getting into a good college.
Tolman introduced the idea that behavior is influenced by...
91
Introduction to Cognitive Psychology01:20

Introduction to Cognitive Psychology

228
Cognitive psychology is the field of psychology dedicated to examining how people think. It attempts to explain how and why we think the way we do by studying the interactions among human thinking, emotion, creativity, language, and problem-solving, as well as other cognitive processes. Cognitive psychology studies how information is processed and manipulated in remembering, thinking, and knowing.
This field emerged in the mid-20th century, following a period dominated by behaviorism, which...
228
Self-Evaluation: Self-Enhancement and Self-Verification03:00

Self-Evaluation: Self-Enhancement and Self-Verification

5.1K
Social psychologists have documented that feeling good about ourselves and maintaining positive self-esteem is a powerful motivator of human behavior (Tavris & Aronson, 2008). In the United States, members of the predominant culture typically think very highly of themselves and view themselves as good people who are above average on many desirable traits (Ehrlinger, Gilovich, & Ross, 2005). Often, our behavior, attitudes, and beliefs are affected when we experience a threat to our...
5.1K

You might also read

Related Articles

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

Sort by
Same author

The Complex Context of Emergency Department Diagnostic Work: Using a Human Factors and Sociotechnical Systems Approach for Artificial Intelligence.

Quality management in health care·2026
Same author

Training in the Categorization of Aerial and Terrestrial Scenes Differentially Impacts Scene-Selective and Nonscene-Selective Regions in Occipitotemporal Cortex.

The European journal of neuroscience·2026
Same author

Machine learning-assisted clone selection for intensified cell culture processes.

Biotechnology progress·2026
Same author

Stress, extraversion, social support, and resilience in pre-nursing students: A correlational study.

Journal of professional nursing : official journal of the American Association of Colleges of Nursing·2026
Same author

Influencing Prenursing Student Well-Being Through a Five-Week Online Intervention.

Nursing education perspectives·2025
Same author

Impact of COVID-19 on A1c Management and Telehealth Use Among a Type 2 Diabetes Mellitus Population in the Outpatient Setting.

Healthcare (Basel, Switzerland)·2025

Related Experiment Video

Updated: May 8, 2025

Virtual Reality Experiments with Physiological Measures
07:09

Virtual Reality Experiments with Physiological Measures

Published on: August 29, 2018

12.6K

Cue Detection and Self-Debriefing Techniques in Virtual Simulation: Techniques Using Cognitive Engineering Inspired

Yan Xiao1, Regina W Urban, Jennifer L Roye

  • 1From the Colleges of Nursing and Health Innovation and Engineering (Y.X.), University of Texas at Arlington, Arlington, TX; College of Nursing and Health Innovation (R.U., J.L.R., M.B.R., M.E.M.), University of Texas at Arlington, Arlington, TX; and ShadowBox LLC (J.S., J.B., G.K.), Dayton, OH.

Simulation in Healthcare : Journal of the Society for Simulation in Healthcare
|March 10, 2025
PubMed
Summary

This study shows that structured self-debriefing in virtual simulations helps healthcare learners develop critical thinking skills for recognizing patient deterioration. The techniques are feasible and engaging for improving clinical cue detection.

Keywords:
Debriefingcritical thinkingexperiential learningsimulationtacit knowledge

More Related Videos

Evaluating Flight Performance and Eye Movement Patterns Using Virtual Reality Flight Simulator
03:49

Evaluating Flight Performance and Eye Movement Patterns Using Virtual Reality Flight Simulator

Published on: May 19, 2023

817
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 8, 2025

Virtual Reality Experiments with Physiological Measures
07:09

Virtual Reality Experiments with Physiological Measures

Published on: August 29, 2018

12.6K
Evaluating Flight Performance and Eye Movement Patterns Using Virtual Reality Flight Simulator
03:49

Evaluating Flight Performance and Eye Movement Patterns Using Virtual Reality Flight Simulator

Published on: May 19, 2023

817
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:

  • Medical Education
  • Cognitive Engineering
  • Virtual Simulation

Background:

  • Online experiential learning offers scalable methods for self-debriefing and developing clinical cue recognition skills.
  • Cognitive engineering principles can enhance expertise development by focusing on tacit knowledge, sensemaking, and mental models.

Purpose of the Study:

  • To develop and assess techniques for cue-detection exercises and structured self-debriefing in virtual simulation for healthcare education.
  • To evaluate the feasibility and engagement of a virtual learning module on deteriorating patient conditions.

Main Methods:

  • Developed self-debriefing techniques comparing learner choices against expert rationales.
  • Created a 2-hour virtual module on recognizing patient deterioration leading to cardiac arrest.
  • Tested the module in a senior nursing course, assessing engagement via voluntary reflections and feasibility through thematic analysis.

Main Results:

  • High completion rate (95.9%) and engagement, with all students submitting reflections.
  • Thematic analysis of reflections revealed common themes of 'missing something,' importance of patient monitoring, and refining actions.
  • Learner reflections were sufficiently specific for analysis, demonstrating technique feasibility.

Conclusions:

  • Validated cognitive engineering-inspired techniques for virtual simulation in healthcare, structuring self-debriefing against expert comparisons.
  • These methods can efficiently foster critical thinking and tacit knowledge for cue detection in healthcare learners.
  • The approach shows potential for consistent development of essential clinical reasoning skills.