From Heterogeneous Multisource Traces to Perceptual-Gestural Sequences: the PeTra Treatment Approach.

Ben-Manson Toussaint 1, 2 Vanda Luengo 3 Tonetti Jéromê 4
2 MeTAH
LIG - Laboratoire d'Informatique de Grenoble
3 MeTAH
LIG - Laboratoire d'Informatique de Grenoble
Abstract : This paper presents PeTra, a framework proposed for representing and treating multi-source heterogeneous traces from simulated learning environments. We tested our proposition on traces from TELEOS, a simulation-based ITS dedicated to percutaneous orthopedic surgery. This ITS captures learners interactions from three different and independent sources. The conducted experiment demonstrated that the sequences generated by PeTra fostered efficiently: 1) the learning analytics task of evaluating the influence of visual perceptions on learners’ errors; 2) the extraction of interesting association rules potentially reusable for tutoring services production. However, its genericity has not been tested and it will need to be evaluated at a larger scale.
Type de document :
Communication dans un congrès
Artificial Intelligence in Education, Jun 2015, madrid, Spain. Springer, 2015
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https://hal.archives-ouvertes.fr/hal-01180274
Contributeur : Vanda Luengo <>
Soumis le : vendredi 24 juillet 2015 - 18:11:04
Dernière modification le : jeudi 11 janvier 2018 - 06:27:16

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  • HAL Id : hal-01180274, version 1

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Ben-Manson Toussaint, Vanda Luengo, Tonetti Jéromê. From Heterogeneous Multisource Traces to Perceptual-Gestural Sequences: the PeTra Treatment Approach.. Artificial Intelligence in Education, Jun 2015, madrid, Spain. Springer, 2015. 〈hal-01180274〉

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