Turk Talk: human-machine hybrid virtual scenarios for professional education

Virtual scenarios provide a means for creating rich and complex online cases for health professional students to explore. However, the response options available to the learner are usually predefined, which limits the utility of virtual patients. Using artificial intelligence or natural language pro...

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Bibliographic Details
Main Authors: Michelle Cullen, Nishan Sharma, David Topps
Format: Article
Language:English
Published: Association for Medical Education in Europe (AMEE) 2018-11-01
Series:MedEdPublish
Subjects:
Online Access:https://www.mededpublish.org/Manuscripts/2062
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spelling doaj-26375367b45b45bfb1f8435023a2218c2020-11-25T02:03:36ZengAssociation for Medical Education in Europe (AMEE)MedEdPublish2312-79962018-11-0174Turk Talk: human-machine hybrid virtual scenarios for professional educationMichelle Cullen0Nishan Sharma1David Topps2University of CalgaryUniversity of CalgaryUniversity of CalgaryVirtual scenarios provide a means for creating rich and complex online cases for health professional students to explore. However, the response options available to the learner are usually predefined, which limits the utility of virtual patients. Using artificial intelligence or natural language processing to accommodate such flexibility is expensive and hard to design. This project description lays out an alternative approach to making virtual scenarios more adaptable and interactive.   Using OpenLabyrinth, an open-source educational research platform, we modified the interface and functionality to provide a human-computer hybrid interface, where a human facilitator can interact with learners from within the online case scenario. Using a design-based research approach, we have iteratively improved our cases, workflows and scripts and interface designs. The next step is testing this new functionality in a variety of situations. This report describes the pilot implementation of this pilot project.  It includes the background, rationale, objectives, learning and educational designs, and implications for software development.   The costs and time required to modify the software were much lower than anticipated. Facilitators managed text input from multiple concurrent learners.  Learners noted a delay while waiting for the facilitator’s response, but denied becoming frustrated. The implementation and use of this new technique seems promising for training and assessment purposes related to developing effective communication skills. This report also explores the provisional implications arising from the study so far.   https://www.mededpublish.org/Manuscripts/2062virtual scenariostext-based chattherapeutic communicationnursing education
collection DOAJ
language English
format Article
sources DOAJ
author Michelle Cullen
Nishan Sharma
David Topps
spellingShingle Michelle Cullen
Nishan Sharma
David Topps
Turk Talk: human-machine hybrid virtual scenarios for professional education
MedEdPublish
virtual scenarios
text-based chat
therapeutic communication
nursing education
author_facet Michelle Cullen
Nishan Sharma
David Topps
author_sort Michelle Cullen
title Turk Talk: human-machine hybrid virtual scenarios for professional education
title_short Turk Talk: human-machine hybrid virtual scenarios for professional education
title_full Turk Talk: human-machine hybrid virtual scenarios for professional education
title_fullStr Turk Talk: human-machine hybrid virtual scenarios for professional education
title_full_unstemmed Turk Talk: human-machine hybrid virtual scenarios for professional education
title_sort turk talk: human-machine hybrid virtual scenarios for professional education
publisher Association for Medical Education in Europe (AMEE)
series MedEdPublish
issn 2312-7996
publishDate 2018-11-01
description Virtual scenarios provide a means for creating rich and complex online cases for health professional students to explore. However, the response options available to the learner are usually predefined, which limits the utility of virtual patients. Using artificial intelligence or natural language processing to accommodate such flexibility is expensive and hard to design. This project description lays out an alternative approach to making virtual scenarios more adaptable and interactive.   Using OpenLabyrinth, an open-source educational research platform, we modified the interface and functionality to provide a human-computer hybrid interface, where a human facilitator can interact with learners from within the online case scenario. Using a design-based research approach, we have iteratively improved our cases, workflows and scripts and interface designs. The next step is testing this new functionality in a variety of situations. This report describes the pilot implementation of this pilot project.  It includes the background, rationale, objectives, learning and educational designs, and implications for software development.   The costs and time required to modify the software were much lower than anticipated. Facilitators managed text input from multiple concurrent learners.  Learners noted a delay while waiting for the facilitator’s response, but denied becoming frustrated. The implementation and use of this new technique seems promising for training and assessment purposes related to developing effective communication skills. This report also explores the provisional implications arising from the study so far.  
topic virtual scenarios
text-based chat
therapeutic communication
nursing education
url https://www.mededpublish.org/Manuscripts/2062
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