Adaptive and Blended Learning for Electrical Operators Training - With Virtual Reality Systems

Yasmín Hernández, Miguel Pérez Ramírez

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.

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Paper Citation


in Harvard Style

Hernández Y. and Ramírez M. (2016). Adaptive and Blended Learning for Electrical Operators Training - With Virtual Reality Systems . In Proceedings of the 8th International Conference on Computer Supported Education - Volume 1: CSEDU, ISBN 978-989-758-179-3, pages 519-524. DOI: 10.5220/0005909605190524


in Bibtex Style

@conference{csedu16,
author={Yasmín Hernández and Miguel Pérez Ramírez},
title={Adaptive and Blended Learning for Electrical Operators Training - With Virtual Reality Systems},
booktitle={Proceedings of the 8th International Conference on Computer Supported Education - Volume 1: CSEDU,},
year={2016},
pages={519-524},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005909605190524},
isbn={978-989-758-179-3},
}


in EndNote Style

TY - CONF
JO - Proceedings of the 8th International Conference on Computer Supported Education - Volume 1: CSEDU,
TI - Adaptive and Blended Learning for Electrical Operators Training - With Virtual Reality Systems
SN - 978-989-758-179-3
AU - Hernández Y.
AU - Ramírez M.
PY - 2016
SP - 519
EP - 524
DO - 10.5220/0005909605190524