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MEMORIA, un Modèle de rEprésentation de la MémOire de l'appRenant pour les systèmes tutoriels Intelligents et Adaptatifs

Abstract : In this thesis, we present MEMORIA, a model of the learner’s memory representation for adaptive and intelligent tutoring systems. The main contribution of this model is a formalization and an implementation of the learner's model using memories that store the information perceived by the learner in a virtual environment and the instructions given by the tutor. The design of our model is based on the four classic components of an intelligent tutorial system.The domain model is represented by the domain knowledge that is formalized using MASCARET. In order to make the interactions between the tutor and the learner natural, we represent the interface model through an embodied conversational agent using GRETA. The learner's model is made of all the knowledge acquired by the learner during the simulation. This knowledge is organized into three memories: sensory memory, working memory, and long-term memory. Our major challenge is to formalize the encoding of information in these memories, as well as the data flow between them.This formalization is based on the theory of human memory proposed by Atkinson and Shiffrin and inspired by the cognitive architecture ACT-R. Our proposed tutor model focuses on the realization of a behavior that adapts the execution of the pedagogical scenario according to the learner's knowledge and the interactions with the tutor. An experimental study was conducted to validate our model. We compared two groups of participants. In the first group, we integrated an adaptive tutor using our model which adapts the execution of the pedagogical scenario and in the second group, a non-adaptive tutor who applied a fixed pedagogical scenario. The results of this study allow us to conclude on the effectiveness of our model for procedural learning.
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Submitted on : Tuesday, May 21, 2019 - 9:58:17 PM
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Joanna Taoum. MEMORIA, un Modèle de rEprésentation de la MémOire de l'appRenant pour les systèmes tutoriels Intelligents et Adaptatifs. Environnements Informatiques pour l'Apprentissage Humain. Université de Bretagne occidentale - Brest, 2018. Français. ⟨NNT : 2018BRES0117⟩. ⟨tel-02136220⟩

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