Authors:
Yasmín Hernández
and
Miguel Pérez Ramírez
Affiliation:
Instituto de Investigaciones Eléctricas, Mexico
Keyword(s):
Empathic Agents, Bayesian Networks, Blended Learning, Student Model, Virtual Reality.
Related
Ontology
Subjects/Areas/Topics:
Artificial Intelligence
;
Artificial Intelligence and Decision Support Systems
;
Biomedical Engineering
;
Biomedical Signal Processing
;
Blended Learning
;
Computational Intelligence
;
Computer-Supported Education
;
Domain Applications and Case Studies
;
e-Learning
;
Enterprise Information Systems
;
Fuzzy Systems
;
Health Engineering and Technology Applications
;
Human-Computer Interaction
;
Industrial, Financial and Medical Applications
;
Information Technologies Supporting Learning
;
Intelligent Tutoring Systems
;
Learning/Teaching Methodologies and Assessment
;
Methodologies and Methods
;
Neural Networks
;
Neurocomputing
;
Neurotechnology, Electronics and Informatics
;
Pattern Recognition
;
Physiological Computing Systems
;
Sensor Networks
;
Signal Processing
;
Soft Computing
;
Theory and Methods
;
Virtual Learning Environments
Abstract:
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.