Authors:
Frédéric Le Corre
;
Charlotte Hoareau
;
Franck Ganier
;
Cédric Buche
and
Ronan Querrec
Affiliation:
UEB/ENIB/CERV, France
Keyword(s):
Intelligent Tutoring System, Virtual Environment, Generic, PedagoGical Scenario, Knowledge Base, Learning, Training.
Related
Ontology
Subjects/Areas/Topics:
Artificial Intelligence
;
Artificial Intelligence and Decision Support Systems
;
Biomedical Engineering
;
Biomedical Signal Processing
;
Computational Intelligence
;
Computer-Supported Education
;
Domain Applications and Case Studies
;
e-Learning
;
Enterprise Information Systems
;
Fuzzy Systems
;
Health Engineering and Technology Applications
;
Human-Computer Interaction
;
Immersive Learning
;
Industrial, Financial and Medical Applications
;
Information Technologies Supporting Learning
;
Intelligent Learning and Teaching Systems
;
Intelligent Tutoring Systems
;
Learning/Teaching Methodologies and Assessment
;
Methodologies and Methods
;
Neural Networks
;
Neurocomputing
;
Neurotechnology, Electronics and Informatics
;
Pattern Recognition
;
Physiological Computing Systems
;
Sensor Networks
;
Signal Processing
;
Soft Computing
;
Theory and Methods
Abstract:
Training to learn the use and maintenance of biomedical devices have various constraints. In order to complete
these trainings, we proposed to use virtual reality based on pedagogical scenarios and Intelligent Tutoring Systems
(ITS). In this paper, we first established the existing pedagogical scenario models and ITS. Subsequently
we presented our proposal of a formal model based on the concept of learning organization by extension of
UML in order to describre some pedagogical scenario and ITS. The use of this model is illustrated by an application
of a virtual biomedical analyzer with the aim of learning the technical procedures of the device. Finally,
we performed two experiments in order to verify the efficiency of virtual reality training.