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

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Design for Teaching and Learning in a Networked World (EC-TEL 2015)

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

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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/.

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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.

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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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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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