A Pedagogical Scenario Language for Virtual Learning Environment based on UML Meta-model - Application to Blood Analysis Instrument

Frédéric Le Corre, Charlotte Hoareau, Franck Ganier, Cédric Buche, Ronan Querrec

2014

Abstract

Training to learn the use and maintenance of biomedical devices have various constraints. In order to complete these trainings, we proposed to use virtual reality based on pedagogical scenarios and Intelligent Tutoring Systems (ITS). In this paper, we first established the existing pedagogical scenario models and ITS. Subsequently we presented our proposal of a formal model based on the concept of learning organization by extension of UML in order to describre some pedagogical scenario and ITS. The use of this model is illustrated by an application of a virtual biomedical analyzer with the aim of learning the technical procedures of the device. Finally, we performed two experiments in order to verify the efficiency of virtual reality training.

References

  1. Ailiya, Shen, Z., and Miao, C. (2010). An emotional agent in virtual learning environment. In Transactions on Edutainment IV, LNCS 6250, pages 22-33.
  2. Bloom, B. (1956). Taxonomy of educational objectives. In Educational Researcher, volume 1.
  3. Bloom, B. (1984). The 2 sigma problem: The search for methods of group instruction as effective as one-toone tutoring. In Educational Researcher, volume 13, pages 3-16.
  4. Dos Santos, C. T. and Osorio, F. S. (2004). Integrating intelligent agents, user models, and automatic content categorization in a virtual environment. In ITS 2004, LNCS 3220, pages 128-139.
  5. El-Kechai, N. and Desprès, C. (2007). Proposing the underlying causes that lead to the trainee's erroneous actions to the trainer. In EC-TEL : European Conference on Technology Enhanced Learning, volume 4753, pages 41-55.
  6. Ferraris, C., Lejeune, A., Vignollet, L., and David, J.-P. (2005). Modélisation de scénarios pédagogiques collaboratifs. In Conférence EIAH.
  7. Guéraud, V., Adam, J.-M., Pernin, J.-P., Calvary, G., and David, J.-P. (2004). L'exploitation d'objets pédagogiques interactifs à distance : le projet FORMID. STICEF, 11:103-163.
  8. Koedinger, K. R., Aleven, V., Heffernan, N., McLaren, B., and Hockenberry, M. (2004). Opening the door to non-programmers: Authoring intelligent tutor behavior by demonstration. INTELLIGENT TUTORING SYSTEMS Lecture Notes in Computer Science, Volume 3220/2004:7-10.
  9. Koedinger, K. R. and Heffernan, N. (2003). Toward a rapid development environment for cognitive tutors. In in Proceedigns of the International Conference on Artificial Intelligence in Education, pages 455-457. IOS Press.
  10. Koper, R. (2001). Modeling units of study from a pedagogical perspective. In Educational Technology Expertise Centre, Open University of the Netherlands.
  11. Koper, R., Olivier, B., and Anderson, T. (2003). Ims learning design information model. In IMS Global Learning Consortium.
  12. Marion, N., Querrec, R., and Chevaillier, P. (2009). Integrating knowledge from virtual reality environments to learning scenario models. a meta-modeling approach. In International conference of computer supported education, pages 254-259.
  13. Mikropoulos, T. and Natsis, A. (2010). Educational virtual environments: A ten-year review of empirical research (1999-2009). In Computer and Education, volume 56, pages 769-780. Elsevier.
  14. Murray, T., Blessing, S., and Ainsworth, S. (2003). Authoring Tools for Advanced Technology Learning Environments: Towards cost-effective adaptive, interactive and intelligent educational software. Kluwer Academic Publishers.
  15. Okutsu, M., DeLaurentis, D., Brophy, S., and Lambert, J. (2012). Teaching an aerospace en- gineering design course via virtual worlds: A comparative assessment of learning outcomes. In Computer and Education, volume 60, pages 288-298. Elsevier.
  16. Querrec, R., Vallejo, P., and Buche, C. (2013). MASCARET: creating virtual learning environments from system modelling. In Engineering Reality of Virtual Reality (ERVR'13), volume 8649, pages 8649-04, San Francisco. SPIE.
  17. Rickel, J. and Johnson, W. L. (1998). Steve: A pedagogical agent for virtual reality. In Second International Conference on Autonomous Agent, pages 332-333.
  18. Sanchez, L. and Imbert, R. (2007). An agent-based adaptable and configurable tutoring module for intelligent virtual environments for training. In Edutainment 2007, LNCS 4469, pages 499-510.
  19. Shi, R. and Lu, P. (2006). A multi-criteria programming model for intelligent tutoring planning. In KES 2006, Part I, LNAI 4251, pages 780-787.
  20. Sorensen, B. and Ramachandran, S. (2007). Simulationbased automated intelligent tutoring. In Human Interface, Part II, HCII 2007, LNCS 4558, pages 466-474.
  21. Suebnukarn, S. and Haddawy, P. (2007). Comet: A collaborative tutoring system for medical problem-based learning. IEEE Intelligent Systems, 22(4):70-77.
  22. Vanlehn, K., Lynch, C., Schulze, K., Shapiro, J. A., Shelby, R., Taylor, L., Treacy, D., Weinstein, A., and Wintersgill, M. (2005). The andes physics tutoring system: Lessons learned. Int. J. Artif. Intell. Ed., 15(3):147- 204.
  23. Wenger, E. (1987). Artificial Intelligence and Tutoring Systems. Morgan Kaufmann, Los Altos, California.
  24. Woolf, B. (1992). Building knowledge based tutors. In Computer Assisted Learning : the 4th International Conferences (ICCAL'92), pages 46-60.
Download


Paper Citation


in Harvard Style

Le Corre F., Hoareau C., Ganier F., Buche C. and Querrec R. (2014). A Pedagogical Scenario Language for Virtual Learning Environment based on UML Meta-model - Application to Blood Analysis Instrument . In Proceedings of the 6th International Conference on Computer Supported Education - Volume 1: CSEDU, ISBN 978-989-758-020-8, pages 301-308. DOI: 10.5220/0004845803010308


in Bibtex Style

@conference{csedu14,
author={Frédéric Le Corre and Charlotte Hoareau and Franck Ganier and Cédric Buche and Ronan Querrec},
title={A Pedagogical Scenario Language for Virtual Learning Environment based on UML Meta-model - Application to Blood Analysis Instrument},
booktitle={Proceedings of the 6th International Conference on Computer Supported Education - Volume 1: CSEDU,},
year={2014},
pages={301-308},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004845803010308},
isbn={978-989-758-020-8},
}


in EndNote Style

TY - CONF
JO - Proceedings of the 6th International Conference on Computer Supported Education - Volume 1: CSEDU,
TI - A Pedagogical Scenario Language for Virtual Learning Environment based on UML Meta-model - Application to Blood Analysis Instrument
SN - 978-989-758-020-8
AU - Le Corre F.
AU - Hoareau C.
AU - Ganier F.
AU - Buche C.
AU - Querrec R.
PY - 2014
SP - 301
EP - 308
DO - 10.5220/0004845803010308