DocumentCode :
3337306
Title :
An Intelligent Tutoring System for Training and Learning in a Virtual Environment for High-Risk Sites
Author :
Amokrane, Kahina ; Lourdeaux, Domitile ; Barthes, Jean-Paul ; Burkhardt, Jean-Marie
Author_Institution :
CNRS, UTC, Compiegne
Volume :
2
fYear :
2008
fDate :
3-5 Nov. 2008
Firstpage :
185
Lastpage :
193
Abstract :
This paper presents our virtual environment for training at high-risk sites (SEVESO sites). In order to enhance this environment, we have integrated into it an intelligent tutoring system called HERA. This system uses the print trace to which the learning process gives rise, and produces an activity trace using plan-recognition techniques. In this paper we present the main components (modules, models) of HERA, and its features for tracking the learner. We explain how HERA retrieves data and transmits them to the learner and the trainer. The data concern the task realized, the errors committed and their type, the potential risks, and comments and explanations about the errors and risky situations.
Keywords :
intelligent tutoring systems; learning (artificial intelligence); virtual reality; high-risk sites; intelligent tutoring system; plan-recognition techniques; virtual environment; Analytical models; Artificial intelligence; Feedback; Intelligent systems; Learning; Management training; Monitoring; Virtual environment; Virtual reality; Welding;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Tools with Artificial Intelligence, 2008. ICTAI '08. 20th IEEE International Conference on
Conference_Location :
Dayton, OH
ISSN :
1082-3409
Print_ISBN :
978-0-7695-3440-4
Type :
conf
DOI :
10.1109/ICTAI.2008.151
Filename :
4669773
Link To Document :
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