A B-Learning Model for Training within Electrical Tests Domain

Abstract

An electrical test performing involves high risk therefore utility companies require high qualified electricians. Traditionally, training on electrical tests has been based on classroom courses; and recently it has been supported by virtual reality systems. These systems have improved training and reduced training time. However the training still depends on courses schedule and instructors, and training systems are not yet adaptive. We propose a model to support adaptive and distance training. The model consists mainly on a representation of the trainees’ knowledge and affect. We also proposed an animated pedagogical agent to guide trainees and provide instruction. The agent has facial expressions conveying emotion and empathy to the trainee. This model is intended to be integrated to a virtual reality training system. In this paper, the trainee model and the initial actions of the agent are presented.