Multi-Agent System Based on Fuzzy Logic for E-Learning Collaborative System

2018 ◽  
Author(s):  
Issam Matazi ◽  
Abdellah Bennane ◽  
Rochdi Messoussi ◽  
Raja Touahni ◽  
Ilham Oumaira ◽  
...  
Keyword(s):  
Fuzzy Logic ◽  
Multi Agent System ◽  
Learning Collaborative ◽  
Agent System ◽  
Collaborative System ◽  
E Learning ◽  
Multi Agent

scholarly journals Determination of Distant Learner’s Sociological Profile Based on Fuzzy Logic and Naïve Bayes Techniques

2017 ◽  
Vol 12 (10) ◽  
pp. 56 ◽  
Author(s):  
Youness Chaabi ◽  
Lekdioui Khadija ◽  
Fatine Jebbor ◽  
Rochdi Messoussi
Keyword(s):  
Fuzzy Logic ◽  
Speech Acts ◽  
Automatic Analysis ◽  
Multi Agent System ◽  
Discussion Forums ◽  
Agent System ◽  
Master Program ◽  
Online Discussion Forums ◽  
E Learning ◽  
Multi Agent

The present article is elaborated in the context of e-learning softwares that provide assistance and functionalities to learners engaged in distance learning. Our contribution consists of a system that estimates a behavioral (sociological) profile for each student. This estimation is based on automatic analysis of students’ textual asynchronous conversations. In general, the automatic analysis of textual conversations is based on speech acts for classification and categorization of messages. This technique has several disadvantages like the absence of standardization of speech acts for determining social behaviors of learners. To overcome this, we propose a multi-agent system based on fuzzy logic reasoning and supervised learning technique for automatic classification and categorization of textual conversation. The determined profiles are proposed to teachers to provide them assistance during tutoring tasks. The objective of this article is to share our reflections around these issues by presenting our experience in the analysis of asynchronous online discussion forums. In this paper, we specifically propose (i) definitions for the used sociological profiles and (ii) introduce the architecture of the Multi-Agent System (MAS) that determines the profiles. The system was experimented with the students of the Master Program “Software Quality” in the Ibn Tofail University. The results obtained from this experience, presented and discussed in this paper, show that the proposed approach can be of interest.

scholarly journals Development of Intelligent Multi-agents System for Collaborative e-learning Support

2018 ◽  
Vol 7 (2) ◽  
pp. 294-305
Author(s):  
Issam Matazi ◽  
Rochdi Messoussi ◽  
Salah-Eddine Bellmallem ◽  
Ilham Oumaira ◽  
Abdellah Bennane ◽  
...  
Keyword(s):  
Fuzzy Logic ◽  
Learning Support ◽  
Artificial Agent ◽  
Learning Collaborative ◽  
Collaborative System ◽  
Pedagogical Action ◽  
E Learning ◽  
Multi Agents

The aim of this paper is the introduction of intelligence in e-learning collaborative system. In such system, the tutor plays an important role to facilitate collaboration between users and boost less active among them to get more involved for good pedagogical action. However, the problem lies in the large number of platform users, and the tutor tasks become difficult if not impossible. Therefore, we used fuzzy logic technics in order to solve this problem by automating tutor tasks and creating an artificial agent. This agent is elaborate in basing on the learners activities, especially the assessment of their collaborative behaviors. After the implementation of intelligent collaborative system by using Moodle platform, we have tested it. The reader will discover our approach and relevant results.

Fuzzy Logic Applied to eHealth Supported by a Multi-Agent System

2018 ◽  
pp. 61-71
Author(s):  
Afonso B. L. Neto ◽  
João P. B. Andrade ◽  
Tibério C. J. Loureiro ◽  
Gustavo A. L. de Campos ◽  
Marcial P. Fernandez
Keyword(s):  
Fuzzy Logic ◽  
Multi Agent System ◽  
Agent System ◽  
Multi Agent

A Multi-Agent System for Handling Adaptive E-Services

2010 ◽  
pp. 1346-1351
Author(s):  
Pasquale De Meo ◽  
Giovanni Quattrone ◽  
Giorgio Terracina ◽  
Domenico Ursino
Keyword(s):  
The Internet ◽  
Multi Agent System ◽  
Agent System ◽  
Electronic Service ◽  
E Learning ◽  
Multi Agent ◽  
Software Programs ◽  
Internet Revolution ◽  
Health Applications

An Electronic-Service (E-Service) can be defined as a collection of network-resident software programs that collaborate for supporting users in both accessing and selecting data and services of their interest present in a provider site. Examples of e-services are e-commerce, e-learning, e-government, e-recruitment and e-health applications. E-Services are undoubtely one of the engines presently supporting the Internet Revolution. Indeed, nowadays, a large number and a great variety of providers offer their services also or exclusively via the Internet.

Adaptive E-Learning Environments

2013 ◽  
Vol 11 (3) ◽  
pp. 1-11 ◽  
Author(s):  
Pierpaolo Di Bitonto ◽  
Teresa Roselli ◽  
Veronica Rossano ◽  
Maria Sinatra
Keyword(s):  
Distance Learning ◽  
Learning Environments ◽  
Recommender System ◽  
Adaptive Learning ◽  
Multi Agent System ◽  
Agent System ◽  
Educational Environments ◽  
E Learning ◽  
Multi Agent ◽  
Learning Research

One of the most closely investigated topics in e-learning research has always been the effectiveness of adaptive learning environments. The technological evolutions that have dramatically changed the educational world in the last six decades have allowed ever more advanced and smarter solutions to be proposed. The focus of this paper is to depict the three main dimensions that have driven research in the e-learning field and the evolution of the technological approaches adopted for the purposes of building advanced educational environments for distance learning. Then, the three different approaches adopted by the authors are discussed; these consist of a multi-agent system, an adaptive SCORM compliant package and an e-learning recommender system.

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