Using Virtual Environments to Achieve Learner Outcomes in Interprofessional Healthcare Education

2017 ◽  
pp. 335-357
Author(s):  
Michelle Aebersold ◽  
Dana Tschannen
Keyword(s):  
Clinical Judgment ◽  
Interprofessional Education ◽  
Educational Experience ◽  
Learning Objectives ◽  
Training Method ◽  
Learner Outcomes ◽  
Simulation Techniques ◽  
Effective Training ◽  
Virtual Simulations ◽  
Interprofessional Healthcare

The use of simulation in the training of healthcare professionals has become an essential part of the educational experience. Students and practitioners need to learn a variety of technical, interpersonal, and clinical judgment skills to be effective healthcare practitioners. Virtual simulation can provide an effective training method to facilitate learning and can be targeted to develop specific skills in the area of Interprofessional Education (IPE). This chapter reviews the literature around simulation techniques and outlines a development process that can be used to develop virtual simulations to meet a variety of learning objectives including IPE. Specific issues and solutions are also presented to ensure a successful educational experience.

Using Virtual Environments to Achieve Learner Outcomes in Interprofessional Healthcare Education

2016 ◽  
pp. 900-921
Author(s):  
Michelle Aebersold ◽  
Dana Tschannen
Keyword(s):  
Clinical Judgment ◽  
Interprofessional Education ◽  
Educational Experience ◽  
Learning Objectives ◽  
Training Method ◽  
Learner Outcomes ◽  
Simulation Techniques ◽  
Effective Training ◽  
Virtual Simulations ◽  
Interprofessional Healthcare

The use of simulation in the training of healthcare professionals has become an essential part of the educational experience. Students and practitioners need to learn a variety of technical, interpersonal, and clinical judgment skills to be effective healthcare practitioners. Virtual simulation can provide an effective training method to facilitate learning and can be targeted to develop specific skills in the area of Interprofessional Education (IPE). This chapter reviews the literature around simulation techniques and outlines a development process that can be used to develop virtual simulations to meet a variety of learning objectives including IPE. Specific issues and solutions are also presented to ensure a successful educational experience.

Using Virtual Environments to Achieve Learner Outcomes in Interprofessional Healthcare Education

2015 ◽  
pp. 265-286
Author(s):  
Michelle Aebersold ◽  
Dana Tschannen
Keyword(s):  
Clinical Judgment ◽  
Interprofessional Education ◽  
Educational Experience ◽  
Learning Objectives ◽  
Training Method ◽  
Learner Outcomes ◽  
Simulation Techniques ◽  
Effective Training ◽  
Virtual Simulations ◽  
Interprofessional Healthcare

The use of simulation in the training of healthcare professionals has become an essential part of the educational experience. Students and practitioners need to learn a variety of technical, interpersonal, and clinical judgment skills to be effective healthcare practitioners. Virtual simulation can provide an effective training method to facilitate learning and can be targeted to develop specific skills in the area of Interprofessional Education (IPE). This chapter reviews the literature around simulation techniques and outlines a development process that can be used to develop virtual simulations to meet a variety of learning objectives including IPE. Specific issues and solutions are also presented to ensure a successful educational experience.

Virtual Reality Simulations

2012 ◽  
pp. 800-817
Author(s):  
Michelle Aebersold ◽  
Dana Tschannen
Keyword(s):  
Virtual Reality ◽  
Clinical Judgment ◽  
Development Process ◽  
Educational Experience ◽  
Learning Objectives ◽  
Virtual Simulation ◽  
Training Method ◽  
Simulation Techniques ◽  
Effective Training ◽  
Virtual Simulations

The use of simulation in the training of healthcare professionals has become an essential part of the educational experience. Students and practitioners need to learn a variety of technical, interpersonal, and clinical judgment skills to be effective healthcare practitioners. Virtual simulation can provide an effective training method to facilitate learning and can be targeted to develop specific skills. This chapter reviews the literature around simulation techniques and outlines a development process that can be used to develop virtual simulations to meet a variety of learning objectives. Specific issues and solutions will also be presented to ensure a successful educational experience.

Energy expenditure by elite midget male ice hockey players in small-sided games

2017 ◽  
Vol 12 (4) ◽  
pp. 504-513 ◽  
Author(s):  
Charles-Mathieu Lachaume ◽  
François Trudeau ◽  
Jean Lemoyne
Keyword(s):  
Heart Rate ◽  
Oxygen Consumption ◽  
Energy Expenditure ◽  
Ice Hockey ◽  
Training Method ◽  
Hockey Players ◽  
Treadmill Testing ◽  
Effective Training ◽  
Relationship Of ◽  
The Relationship

The purpose of this study was to investigate the energy expenditure and heart rate responses elicited in elite male midget ice hockey players during small-sided games. Nine players (aged 15.89 ± 0.33 years) participated in the study. Maximal progressive treadmill testing in the laboratory measured the relationship of oxygen consumption ([Formula: see text]) to heart rate before on-ice assessments of heart rate during six different small-sided games: 1v1, 2v2, 2v2 with support player, 3v3 with support player, 3v3 with transitions, and 4v4 with two support players. Heart rate was recorded continuously in each game. 3v3 T small-sided game was the most intense for all four intensity markers. All six small-sided games reached 89% HRmax or more with heart rate peaks in active effort repetition. These findings demonstrate that such small-sided games are considered as high intensity games and are an effective training method for ice hockey players.

Multisensory Virtual Reality for delivering training content to machinery operators

2021 ◽  
pp. 1-39
Author(s):  
Monica Bordegoni ◽  
Marina Carulli ◽  
Elena Spadoni
Keyword(s):  
Virtual Reality ◽  
Digital Simulation ◽  
Research Work ◽  
Learning By Doing ◽  
Protective Equipment ◽  
Training Method ◽  
Simulation Techniques ◽  
Machine Operators ◽  
Negative Factors ◽  
University Laboratory

Abstract The issue of training operators in the use of machinery is topical in the industrial field and in many other contexts, such as university laboratories. Training is about learning how to use machinery properly and safely. Beyond the possibility of studying manuals to learn how to use a machine, operators typically learn through on-the-job training. Indeed, learning by doing is in general more effective, tasks done practically are remembered more easily, and the training is more motivating and less tiresome. On the other hand, this training method has several negative factors. In particular, safety may be a major issue in some training situations. An approach that may contribute overcoming negative factors is using Virtual Reality and digital simulation techniques for operators training. The research work presented in this paper concerns the development of a multisensory Virtual Reality application for training operators to properly use machinery and Personal Protective Equipment (PPE). The context selected for the study is a university laboratory hosting manufacturing machinery. The application allows user to navigate the laboratory, to approach a machine and learn about how to operate it, and also to use proper PPE while operating a machine. Specifically, the paper describes the design and implementation of the application and presents the results of preliminary testing sessions.

Evaluating the Impact of a Virtual Emergency Room Simulation for Learning

2012 ◽  
pp. 100-120
Author(s):  
Luke Rogers ◽  
Charlynn Miller ◽  
Sally Firmin
Keyword(s):  
Learning Strategies ◽  
Virtual Teams ◽  
Second Life ◽  
Clinical Judgment ◽  
Effective Learning ◽  
Online Tools ◽  
Participation Level ◽  
Level Of Use ◽  
Virtual Simulations ◽  
The Impact

This study explored the value of Second Life as a clinical simulation platform for healthcare students. Participants were exposed to the Critical Life simulation and worked in teams within the simulation. Pre- and post-surveys and interviews were used to gauge responses to participation, level of use of online tools and gaming, and input about the experience of using the simulation. The main findings from the study were that participants had positive and realistic experiences using Critical Life as a collaborative learning tool; participants agreed that Critical Life would assist them in developing technical and non-technical skills; participants were not deterred by the technology and perceived they would use it in their own time; and participants agreed that the simulation was able to incorporate effective learning strategies that may improve clinical judgment. Interviews revealed that the participants enjoyed working in virtual teams suggesting that in healthcare education, virtual simulations have potential for use across multiple campuses and universities.

Enhancing performance of the back-propagation algorithm based on a novel regularization method of preserving inter-object-distance of data

2020 ◽  
pp. 2050081
Author(s):  
Junying Hu ◽  
Kai Sun ◽  
Hai Zhang
Keyword(s):  
Back Propagation ◽  
Bp Algorithm ◽  
Manifold Regularization ◽  
Training Method ◽  
Back Propagation Algorithm ◽  
Object Distance ◽  
Learning Tasks ◽  
Propagation Algorithm ◽  
Effective Training ◽  
Classification Tasks

Artificial neural networks, consisting of many levels of nonlinearities, have been widely used to deal with various supervised learning tasks. At present, the most popular and effective training method is back-propagation algorithm (BP). Inspired by manifold regularization framework, we introduce a novel regularization framework, which aims at preserving the inter-object-distance of the data. Then a refined BP algorithm (IOD-BP) is proposed by imposing the proposed regularization framework into the objective function of BP algorithm. Comparative experiments on various benchmark classification tasks show that the new regularization BP method significantly improves the performance of BP algorithm in terms of classification accuracy.

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