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Design of an Intelligent System to Support Tutors in Learning Communities Using Multi-Agent Systems and Fuzzy Logic


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DOI: https://doi.org/10.15866/irecos.v10i8.7015

Abstract


In this article, we describe a multi agent approach for supporting learning activities in a Virtual Learning Environment context. In order to assist teachers who monitor learning processes, viewed as a specific type of collaboration, the proposed system estimates a behavioral (sociological) profile for each student. This estimation is based on automatic analysis of students’ textual asynchronous conversations. The determined profiles are proposed to the teacher and may provide assistance to teacher during tutoring tasks. This paper specifically proposes definitions of the used sociological profiles, and presents the architecture of the Multi-Agent System (MAS) determining the profiles. This MAS relies on a fuzzy logic based strategy for representing the knowledge of the teacher. The system was experimented with students of the master “software quality” of the Ibn Tofail University. The results obtained show that the proposed approach is effective and gives satisfactory results. 
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Keywords


Collaborative Learning; Conversation Analysis; Fuzzy Logic; Multi-Agent System; Social Profiles

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References


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