Adaptive and Blended Learning for Electrical Operators Training

Due to the danger involved in the electrical field, qualified electricians are required. Traditionally, training has been based on classroom courses and camp training, but it is costly and students need to spend a long time to develop their competences. We propose to complement traditional training with an intelligent training system composing a blended training model. The blended model enables adaptive training through a student model which represents the affective and knowledge states of the trainees. The affect is recognized taking into account a theoretical model of emotions. The knowledge of the student is updated as he interacts with the system. The instruction is presented in a virtual reality environment by an empathic agent. The virtual reality system enables practicing in a controlled and safe environment. In this paper, the general proposal for the blended training model is presented.