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European Conference on Technology Enhanced Learning

EC-TEL 2015: Design for Teaching and Learning in a Networked World pp 28–41Cite as

Facilitate Sharing of Training Experience by Exploring Behavior Discovery in Trainees Traces

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Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 9307))

Abstract

In this article, we propose a set of models and a prototype to capitalize and share knowledge of expert tutors using training simulators. This is a particularly important issue in contexts with strong stakes such as training of operators of nuclear power plants, where operators’ accreditation strongly depends on skills of tutors and tolerate no errors. In such a context, observation, analysis and debriefing of interactions of trainees’ operators are complex activities especially for the young tutors who do not have the expertise of confirmed tutors. Based on digital traces, our approach consists in providing a visual synthesis of trainees’ activities by using the knowledge of experts. Such a synthesis, showing the relationships between low-level traces and high-level behaviors, enables tutors to enhance their understanding and better analyse the activity in order to prepare the debriefing. Our approach has been implemented in a prototype, called D3KODE, which was evaluated according to a comparative protocol conducted with a team of tutors from EDF Group (Electricity Of France). The result demonstrated that the visual synthesis and the higher informations provided by D3KODE helped the intructors to confirm/validate more easily realizations and no-realizations of educational objectives trainees and facilitated the exchanges between tutors and trainees.

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Notes

  1. 1.

    Electricity Of France.

  2. 2.

    http://liris.cnrs.fr/silex.

  3. 3.

    KO means that the operator did not validate this objective.

  4. 4.

    http://liris.cnrs.fr/d3kode.

  5. 5.

    http://liris.cnrs.fr/sbt-dev/ktbs/.

  6. 6.

    http://www.w3.org/RDF/.

  7. 7.

    http://www.w3.org/TR/sparql11-query/.

References

  1. Ngoc, D.P.T., Iksal, S., Choquet, C., Klinger, E.: Utl-cl: a declarative calculation language proposal for a learning tracks analysis process. In: Ninth IEEE International Conference on Advanced Learning Technologies, ICALT 2009, pp. 681–685 (2009)

    Google Scholar 

  2. Wan, A., Sadiq, S., Li, X.: On improving learning outcomes through sharing of learning experiences. In: 2010 IEEE 10th International Conference on Advanced Learning Technologies (ICALT), pp. 461–463 (2010)

    Google Scholar 

  3. Konert, J., Gobel, S., Richter, K., Bruder, R.: Knowledge sharing in the classroom: a social network approach for diagnostic assessment and learning together. In: 2011 11th IEEE International Conference on Advanced Learning Technologies (ICALT), pp. 350–354 (2011)

    Google Scholar 

  4. May, M., George, S., Prévot, P.: Travis to enhance online tutoring and learning activities: real time visualization of students tracking data. Int. J. Interact. Technol. Smart Educ. 8, 52–69 (2011)

    Google Scholar 

  5. Popescu, E., Cioiu, D.: Instructor support for monitoring and visualizing students’ activity in a social learning environment. In: ICALT 2012 - International Conference on Advanced Learning Technologies and Technology-Enhanced Learning, Rome (2012)

    Google Scholar 

  6. Sehaba, K.: Sharing experiences between learners with different profiles: adaptation of interaction traces. In: 2012 IEEE 12th International Conference on Advanced Learning Technologies (ICALT), pp. 488–492 (2012)

    Google Scholar 

  7. Djouad, T., Mille, A., Reffay, C., Benmohammed, M.: A new approach based on modelled traces to compute collaborative and individual indicators human interaction. In: ICALT 2010, 10th IEEE International Conference on Advanced Learning Technologies, pp. 53–54, Sousse, 5–7 July 2010

    Google Scholar 

  8. Zendagui, B.: How to support the specification of observation needs by instructional designers: a learning-scenario-centered approach. In: Cress, U., Dimitrova, V., Specht, M. (eds.) EC-TEL 2009. LNCS, vol. 5794, pp. 738–743. Springer, Heidelberg (2009)

    Chapter  Google Scholar 

  9. Nonaka, I.: A dynamic theory of organizational knowledge creation. Organ. Sci. 5, 14–37 (1994)

    Article  Google Scholar 

  10. Wang, S., Noe, R.A.: Knowledge sharing: a review and directions for future research. Hum. Res. Manag. Rev. 20, 115–131 (2010)

    Google Scholar 

  11. Theureau, J.: Nuclear reactor control room simulators: human factors research and development. Cogn. Technol. Work 2, 97–105 (2000). doi:10.1007/s101110050031

    Article  Google Scholar 

  12. Blanc, K.L.L., Boring, R.L., Gertman, D.I.: Review of methods related to assessing human performance in nuclear power plant control room simulations. In: Proceedings of the Seventh American Nuclear Society International Topical Meeting on Nuclear Plant Instrumentation, Control and Human-Machine Interface Technologies NPIC and HMIT, Las Vegas, pp. 411–422 (2010)

    Google Scholar 

  13. IAEA: use of control room simulators for training of nuclear power plant personnel. Report 36017984, International Atomic Energy Agency, Vienna (2004)

    Google Scholar 

  14. Dunand, R., Dravers, F., Guillermard, J.: Sepia : un système d’enseignement par intelligence artificielle pour les opérateurs d’edf. Revue Générale Nucléaire 3, 254–257 (1989)

    Article  Google Scholar 

  15. Bass, E.J.: Architecture for an intelligent instructor pilot decision support system. In: IEEE International Conference on Systems, Man, and Cybernetics. vol. 1, pp. 891–896, San Diego (1998)

    Google Scholar 

  16. Joab, M., Auzende, O., Futtersack, M., Bonnet, B., Le Leydour, P.: Computer aided evaluation of trainee skills on a simulator network. In: Cerri, S.A., Gouardéres, G., Paraguaçu, F. (eds.) ITS 2002. LNCS, vol. 2363, p. 521. Springer, Heidelberg (2002)

    Chapter  Google Scholar 

  17. Dyke, G., Lund, K., Girardot, J.: Tatiana: an environment to support the CSCL analysis process. In: Proceedings of the 8th International Conference on Computer Supported Collaborative Learning, CSCL 2009, vol. 1, pp. 58–67, Rhodes, 8–13 June 2009

    Google Scholar 

  18. Georgeon, O., Mille, A., Bellet, T., Mathern, B., Ritter, F.: Supporting activity modelling from activity traces. Expert Syst. 29(3), 261–275 (2011)

    Article  Google Scholar 

  19. Settouti, L.S., Prie, Y., Marty, J.C., Mille, A.: A trace-based system for technology-enhanced learning systems personalisation. In: The 9th IEEE International Conference on Advanced Learning Technologies (2009)

    Google Scholar 

  20. Champalle, O., Sehaba, K., Mille, A.: Capitalize and share observation and analysis knowledge to assist trainers in professional training with simulation case of training and skills maintain of nuclear power plant control room staff. In: Helfert, M. (ed.) CSEDU 2013–5th International Conference on Computer Supported Education, pp. 627–632 (2013)

    Google Scholar 

  21. Per, R., Martin, H.: Guidelines for conducting and reporting case study research in software engineering. Empir. Softw. Eng. 14, 131–164 (2009)

    Article  Google Scholar 

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Acknowledgements

This research work is financed by the ANRT and the UFPI of EDF Group. The authors thank all the tutors of the UFPI for their help.

Author information

Authors and Affiliations

  1. Université de Lyon, CNRS, Lyon, France

    Olivier Champalle, Karim Sehaba & Alain Mille

  2. Université Lyon 1, LIRIS, UMR5205, F-69622, Villeurbanne, France

    Olivier Champalle & Alain Mille

  3. Université Lyon 2, LIRIS, UMR5205, F-69676, Lyon, France

    Karim Sehaba

Authors
  1. Olivier Champalle
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  2. Karim Sehaba
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  3. Alain Mille
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Corresponding author

Correspondence to Olivier Champalle .

Editor information

Editors and Affiliations

  1. University of Bath Spa, Bath, UK

    Gráinne Conole

  2. Jožef Stefan Institute, Ljubljana, Slovenia

    Tomaž Klobučar

  3. Technische Universität Darmstadt, Darmstadt, Germany

    Christoph Rensing

  4. Technische Universität Darmstadt, Darmstadt, Germany

    Johannes Konert

  5. IAE Lyon, Université Jean Moulin Lyon 3, Lyon, France

    Elise Lavoué

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© 2015 Springer International Publishing Switzerland

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Champalle, O., Sehaba, K., Mille, A. (2015). Facilitate Sharing of Training Experience by Exploring Behavior Discovery in Trainees Traces. In: Conole, G., Klobučar, T., Rensing, C., Konert, J., Lavoué, E. (eds) Design for Teaching and Learning in a Networked World. EC-TEL 2015. Lecture Notes in Computer Science(), vol 9307. Springer, Cham. https://doi.org/10.1007/978-3-319-24258-3_3

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  • DOI: https://doi.org/10.1007/978-3-319-24258-3_3

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-24257-6

  • Online ISBN: 978-3-319-24258-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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