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Communication Dans Un Congrès Année : 2018

Adaptive Virtual Tutor based on the Inference of the Student's Memory Content

Joanna Taoum
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Elisabetta Bevacqua
Ronan Querrec

Résumé

This research work presents an adaptive and embodied virtual tutor. Our proposed tutor is able to adapt the execution of a peda-gogical scenario according to the estimated student's level of knowledge. To achieve such a goal, we rely on Mascaret, a meta-model for knowledge representation in a virtual environment and on an inference of the student's memory content. This inference permits the tutor to adapt the execution of the pedagogical scenario and to choose an individualized assistance according to the evolution of the student.
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Dates et versions

hal-02089240 , version 1 (03-04-2019)

Identifiants

  • HAL Id : hal-02089240 , version 1

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Joanna Taoum, Elisabetta Bevacqua, Ronan Querrec. Adaptive Virtual Tutor based on the Inference of the Student's Memory Content. 14th International Conference on Intelligent Tutoring Systems (ITS’18), Jun 2018, Montréal, Canada. pp.470-472. ⟨hal-02089240⟩
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