Approche narrative des processus d'analyses de traces d'apprentissage : un framework ontologique pour la capitalisation

Alexis Lebis 1, 2 Marie Lefevre 1 Vanda Luengo 2 Nathalie Guin 1
1 TWEAK - Traces, Web, Education, Adaptation, Knowledge
LIRIS - Laboratoire d'InfoRmatique en Image et Systèmes d'information
Abstract : Capitalization of analyses extracting knowledge from educational data are hindered by two important factors : technical constraints implied by runnable necessities and context dependencies. These factors avoid to easily reuse analysis processes outside of their original scopes. In this paper we consider analysis processes as systemic and propose a narrative approach, structured by an ontological framework, in order to foster human and machine understanding. The aim is to enable the capitalization of analysis processes inside the TEL community.
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Conference papers
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https://hal.archives-ouvertes.fr/hal-01517145
Contributor : Vanda Luengo <>
Submitted on : Tuesday, May 2, 2017 - 5:09:32 PM
Last modification on : Tuesday, September 17, 2019 - 10:37:40 AM

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  • HAL Id : hal-01517145, version 1

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Alexis Lebis, Marie Lefevre, Vanda Luengo, Nathalie Guin. Approche narrative des processus d'analyses de traces d'apprentissage : un framework ontologique pour la capitalisation. Environnements Informatiques pour l'Apprentissage Humain, Jun 2017, Strasbourg, France. ⟨hal-01517145⟩

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