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

Yasmín Hernández, Miguel Pérez Ramírez

2016

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.

References

  1. Breese, J. S., Ball, G. (2008) Modeling Emotional State and Personality for Conversational Agents, Technical report, MSR-TR-98-41.
  2. Burdea, G. C. and Coiffet. P. (2003) Virtual Reality Technology, 2nd edition, New Brunswick, NJ: WileyIEEE Press.
  3. Carson, E. (2015) NASA shows the world its 20-year virtual reality experiment to train astronauts: The inside story. [Online], Available: http://www. techrepublic.com/article/nasa-shows-the-world-its-20- year-vr-experiment-to-train-astronauts/ [8 Feb 2015]
  4. Conati, C. and Mclaren, H. (2009) Empirically Building and Evaluating a Probabilistic Model of User Affect, User Modeling and User-Adapted Interaction, vol. 19, no. 3, pp. 267-303.
  5. Ekman, P. and Friesen, W. (1978) Facial Action Coding System: A technique for the measurement of facial movement. Consulting Psychologists Press, Palo Alto.
  6. Heinze, A. and Procter, C. (2004) Reflections on the Use of Blended Learning, Conference Proceedings, Education in a Changing Environment Conference.
  7. Hernández, Y., Pérez-Ramírez, M., Zatarain-Cabada, R., Barrón-Estrada, L. and Alor-Hernández, G. Designing empathetic animated agents for a b-learning training environment within the electrical domain, To appear in Educational Technology & Society, vol. 19, no. 2 (2016).
  8. Hernández, Y. and Pérez-Ramírez M. (2014). A b-learning model for training within electrical tests domain, Intelligent Learning Environments, special issue of Research in Computing Science, vol. 87, pp. 43-52.
  9. Hernández, Y., Sucar, L. E. and Arroyo-Figueroa, G. (2012) Affective Modeling for an Intelligent Educational Environment in Peña, A. (ed.) Intelligent and Adaptive Educational-Learning Systems: Achievements and Trends, Heidelberg: Springer.
  10. Hone, K. (2006) Empathic agents to reduce user frustration: The effects of varying agent characteristics, Interacting with Computers, vol. 18, no. 2, pp. 227-245.
  11. Johnson, W. L., Rickel, J. W. and Lester, J. C. (2000) Animated Pedagogical Agents: Face-to-Face Interaction in Interactive Learning Environment, International Journal of Artificial Intelligence in Education, vol.11, no. 1. pp. 47-78.
  12. Lane, H.C. and Johnson, W.L. (2008) Intelligent Tutoring and Pedagogical Experience Manipulation in Virtual Learning Environments, in Schmorrow, Cohn and Nicholson (eds.), The PSI Handbook of Virtual Environments for Training and Education: Developments for the Military and Beyond. Praeger Security International: Westport, CN.
  13. Mitrovic, A. and Brent, M. (2002) Evaluating the Effects of Open Student Models on Learning, Conference proceedings, Adaptive Hypermedia and Adaptive WebBased Systems, pp. 296-305.
  14. Ortony, A., Clore, G.L. and Collins, A. (1988) The Cognitive Structure of Emotions, Cambridge University Press.
  15. Pérez-Ramírez, M. and Ontiveros-Hernández N. J. (2009) Virtual Reality as a Comprehensive Training Tool, in Gelbukh, A. (Ed) Artificial Intelligence & Applications, Mexico: SMIA.
  16. Sagae A., Hobbs, J. R., Wertheim, S., Agar, M., Ho, E. and Johnson, W.L. (2012) Efficient Cultural Models of Verbal Behavior for Communicative Agents, Conference proceedings, Intelligent virtual agents, Santa Cruz, pp. 523-525.
  17. Sottilare, R., Graesser, A., Hu, X. and Holden, H. (eds.) (2013) Design Recommendations for Intelligent Tutoring Systems Volume 1 Learner modeling, Florida: U.S. Army Research Laboratory.
  18. Sucar, E. (2015) Probabilistic Graphical Models: Principles and Applications, Springer.
  19. Wang, N., Johnson, W. L., Mayer, R. E., Rizzo, P., Shaw, E. and Collins H. (2008) The politeness effect: Pedagogical agents and learning outcomes, International Journal on Human-Computer Studies, vol. 66, no. 2 pp. 98-112.
  20. Wagner, D. (2015) Virtual Reality Revolutionizes Online Tutoring, [Online] Available: https://www.linkedin. com/pulse/virtual-reality-revolutionizes-onlinetutoring-tutorz-com [8Feb 2016]
  21. Woolf, B. P. (2008) Building Intelligent Interactive Tutors, Morgan Kaufmann.
Download


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