Observations models to track learners' activity during training on a Nuclear Power Plant Full-Scope Simulator
Résumé
This article focuses on the professional training of operators of Nuclear Power Plants (NPP) on Full-Scope Simulators (FSS). In such context, observation and analy-sis of the individual and collective interaction of the trainees is critical and particu-larly difficult. The objective of our work is to propose models and tools to help train-ers observe and analyze trainees' activities during preparation and debriefing. For that purpose, our approach consists in representing the actions of the operators and the simulation data in the form of modelled trace. These modelled traces are then trans-formed in order to extract higher information level. Trainers can visualized the differ-ent levels of trace to analyze the reasons, collective or individual, of successes or failure of trainees during the simulation. In order to validate our approach, we have developed the prototype D3KODE based on the trace model and transformation that we proposed. This prototype was then evaluate according to a protocol based on a comparative method in the context of several experiment conducted with a team of experts, trainers and trainees from EDF Group.