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Modèles et outils pour favoriser l’articulation entre la généricité d’un assistant intelligent et les spécificités de son usage en EIAH

Abstract : This thesis in computer science take place in the ILE domain (Interactive Learning Environment) and was realized within the AGATE project (an Approach for Genericity in Assistance To complEx tasks) that aims at proposing generic models and unified tools to make possible the setup of assistance systems in various existing applications. In this project, an assistance editor allows assistance designers to define assistance systems and a generic assistance engine executes these assistance systems on the various target-applications without disturbing them to help final users. These assistance systems are defined by the assistance rules that respect the aLDEAS language. In the educational context, teachers can want to set up assistance system to complete the pedagogical or non-pedagogical software used by learners. Pedagogical engineers therefore have the role of assistance designers and learners are end-users of such assisted applications. Our PhD thesis address the following research question: “How to set up an epiphytic assistance system in the educational context by adopting a generic approach?” In order to answer this research question, we realized this thesis in two steps: first, the study of existing assistances within applications used in the educational context, then the exploitation and enrichment of models and tools of the AGATE project to adapt them to the educational context. In the first step, we studied the applications used by teachers in their courses as well as existing works proposing assistance system. We identified the characteristics of assistance, and classified them by the way they propose the technical assistance (use, handling of applications) and the pedagogical assistance (pedagogical feedback, pedagogical guidance) as well as different modes to sequence assistance elements in the educational context. In the second step, we confronted the models and tools proposed previously in the AGATE project to the characteristics of the assistance identified in educational context. The limitations of the previous models and tools led us to propose two contributions to the aLDEAS language and the SEPIA system in order to adapt them to the educational context. The first limitation relates to the complex definition of various assistance systems in terms of sequence of assistance elements. Whether in an educational context or not, it is important to be able to define easily and explicitly several modes of articulation between the different elements of an assistance system. We therefore proposed a model of articulation between aLDEAS rules in five modes: successive, interactive, simultaneous, progressive, independent. We associated this model with a process of automatic application of constraints of the articulation modes to the rules. This process makes it possible to automatically generate and / or modify the aLDEAS rules by making sure that they are always compatible with the execution of SEPIA assistance engine. This model and this process have been implemented in SEPIA-edu. The second limitation is specific to the educational context. It concerns the complex definition of a pedagogical guidance proposing different learning activities within an existing application. We first proposed an activity model to delimit activities within applications. Then, a pedagogical guidance model allows to define different types of pedagogical guidance (free, sequential, contextualized, temporal, personalized). A pedagogical guidance pattern was proposed to define a composed pedagogical guidance which can combine several types of pedagogical guidance. Finally, a process of the transformation of a pedagogical guidance into aLDEAS rules allows to automatically generate and modify aLDEAS rules. This model of activity, this pedagogical guidance pattern and this process have been implemented in SEPIA-edu
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Submitted on : Thursday, August 31, 2017 - 10:15:07 AM
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Le Vinh Thai. Modèles et outils pour favoriser l’articulation entre la généricité d’un assistant intelligent et les spécificités de son usage en EIAH. Environnements Informatiques pour l'Apprentissage Humain. Université de Lyon, 2017. Français. ⟨NNT : 2017LYSE1096⟩. ⟨tel-01579410⟩



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