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

被引:2
|
作者
Hernandez, Yasmin [1 ]
Perez Ramirez, Miguel [1 ]
机构
[1] Inst Invest Elect, Gerencia Tecnol Informac, Reforma 113, Cuernavaca, Morelos, Mexico
关键词
Empathic Agents; Bayesian Networks; Blended Learning; Student Model; Virtual Reality; AGENTS;
D O I
10.5220/0005909605190524
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
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.
引用
收藏
页码:519 / 524
页数:6
相关论文
共 50 条
  • [1] Training Routine for Electrical Power Station Operators Using Virtual Reality
    Teodoro, Pablo
    Mattioli, Leandro
    Cyrino, Gabriel
    Cardoso, Alexandre
    Lamounier, Edgard
    Zorcot, Emmanuele
    Ramos, Daniel
    PERSPECTIVES AND TRENDS IN EDUCATION AND TECHNOLOGY, ICITED 2022, 2023, 320 : 387 - 398
  • [2] A Virtual Reality System for Training Operators
    Patrao, Bruno
    Menezes, Paulo
    INTERNATIONAL JOURNAL OF ONLINE ENGINEERING, 2013, 9 (09) : 53 - 55
  • [3] Virtual reality systems for training improvement in electrical distribution substations
    Hernandez, Yasmin
    Perez Ramirez, Miguel
    2016 IEEE 16TH INTERNATIONAL CONFERENCE ON ADVANCED LEARNING TECHNOLOGIES (ICALT), 2016, : 75 - 76
  • [4] AGITO: Virtual Reality Environment for Power Systems Substations Operators Training
    Ribeiro, Tiago Ramos
    Jansen dos Reis, Paulo Roberto
    Braz Junior, Geraldo
    de Paiva, Anselmo Cardoso
    Silva, Aristofanes Correa
    Oliveira Maia, Ivana Marcia
    Araujo, Antonio Serrgio
    AUGMENTED AND VIRTUAL REALITY, AVR 2014, 2014, 8853 : 113 - 123
  • [5] An Immersive Virtual Reality Application for Collaborative Training of Power Systems Operators
    dos Reis, Paulo R. J.
    Matos, Caio
    Diniz, Petterson
    Silva, Daniel
    Dantas, Whesley
    Braz Junior, Geraldo
    Paiva, Anselmo C.
    Araujo, Antonio Sergio
    2015 XVII SYMPOSIUM ON VIRTUAL AND AUGMENTED REALITY, 2015, : 121 - 126
  • [6] Implement Virtual Reality Tour in Blended Learning
    Ng, Peter H. F.
    Kar, Jessie F. Y.
    Wong, Anson
    Leung, Wai Renee
    Lai, Kace
    Ngai, Grace
    BLENDED LEARNING: ENGAGING STUDENTS IN THE NEW NORMAL ERA, ICBL 2022, 2022, 13357 : 74 - 84
  • [7] Virtual Reality for the Training of Operators in Industry 4.0
    Schroeder, Henrik
    Friedewald, Axel
    Kahlefendt, Chris
    Loedding, Hermann
    ADVANCES IN PRODUCTION MANAGEMENT SYSTEMS: THE PATH TO INTELLIGENT, COLLABORATIVE AND SUSTAINABLE MANUFACTURING, 2017, 513 : 330 - 337
  • [8] Virtual Reality, Robot, and Object Touch: Blended Reality Sensorimotor Training Experience
    August, K. G.
    Guidali, M.
    Sellathurai, M.
    Hepp-Reymond, M-C.
    Adamovich, S. V.
    Riener, R.
    2011 IEEE 37TH ANNUAL NORTHEAST BIOENGINEERING CONFERENCE (NEBEC), 2011,
  • [9] Enhancing difficult airway management training: the role of virtual reality and adaptive learning
    Battegazzorre, Edoardo
    Gino, Bruno
    Strada, Francesco
    Kapralos, Bill
    Dubrowski, Adam
    Lamberti, Fabrizio
    Bottino, Andrea
    VIRTUAL REALITY, 2025, 29 (01)
  • [10] Application of Virtual Reality Technology in the Training of Crane Operators
    Dong, Haoming
    PROCEEDINGS OF THE 2015 INTERNATIONAL CONFERENCE ON ELECTRICAL, ELECTRONICS AND MECHATRONICS, 2016, 34 : 130 - 132