PEDAGOGICAL SYSTEM IN VIRTUAL ENVIRONMENTS FOR HIGH-RISK SITES
Résumé
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