Authors:
Kahina Amokrane
and
Domitile Lourdeaux
Affiliation:
University of Technology of Compiègne, France
Keyword(s):
Virtual environment, Intelligent tutoring system, Pedagogical feedback, Industrial risks, SEVESO sites.
Related
Ontology
Subjects/Areas/Topics:
Artificial Intelligence
;
Biomedical Engineering
;
Computational Intelligence
;
Evolutionary Computing
;
Expert Systems
;
Health Information Systems
;
Industrial Applications of AI
;
Knowledge Discovery and Information Retrieval
;
Knowledge Engineering and Ontology Development
;
Knowledge-Based Systems
;
Machine Learning
;
Soft Computing
;
Symbolic Systems
Abstract:
Training at high risk sites (SEVESO sites) has many difficulties regarding potential risks, high training costs, etc. Virtual Environments for Training/Learning (VET/L) are best suited to overcome such difficulties. In this work, we have developed a collaborative VET/L where a learner with other autonomous virtual agents can work together to achieve a specific goal. We equipped this environment with an Intelligent Tutoring System, HERA, allowing to track several learners simultaneously, and to show them the consequences of their errors. HERA provides relevant feedback to learners, in real time or in a replay mode, thanks to its pedagogical model and module. This feedback depends on predefined pedagogical rules based on learners' level, their errors, the pedagogical goal, etc. In this paper, we present our system's architecture. Then, we give a detailed description of the pedagogical model, and we explain the pedagogical module functionalities.