Multi-Agent System for Recommending Learning Objects in E-Learning Environments

2021 ◽  
Author(s):  
Thais Oliveira Almeida ◽  
Jose Francisco De Magalhaes Netto ◽  
Arcanjo Miguel Mota Lopes
Keyword(s):  
Learning Environments ◽  
Learning Objects ◽  
Multi Agent System ◽  
Agent System ◽  
E Learning ◽  
Multi Agent

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.

An Adaptive Multi-Agent Environment

2011 ◽  
pp. 1-5
Author(s):  
Rejane Pinheiro ◽  
Elizabeth Furtado
Keyword(s):  
Collaborative Learning ◽  
Learning Objects ◽  
Decision Processes ◽  
Agent Technology ◽  
Artificial Agents ◽  
Multi Agent System ◽  
Agent System ◽  
Cognitive Characteristics ◽  
Construction Of Knowledge ◽  
Multi Agent

This article aims to develop a new environment of collaborative learning, by taking into account the criteria of construction of knowledge by the apprentices and the adaptative management of that knowledge by artificial agents. The multi-agent technology has been chosen due to the possibility of having artificial agents with internal decision processes to help students in the construction of their own projects and enabling learning objects available in accordance with the cognitive characteristics of the students and of their group. In this multi-agent system, exchanges of messages between the agents can occur so that they can perform theirs tasks in the best possible way.

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.

Multi-agent system model for tutor recommendation in ubiquitous learning environments

2018 ◽  
Author(s):  
Beatriz Fernandez Reuter ◽  
Margarita M. Alvarez ◽  
Gabriela Gonzalez ◽  
Elena B. Durán
Keyword(s):  
Learning Environments ◽  
System Model ◽  
Multi Agent System ◽  
Ubiquitous Learning ◽  
Agent System ◽  
Multi Agent

scholarly journals A Proposal of a Multi-Agent System for Adapting Learning Contents to User Competences, Context and Mobile Device

2013 ◽  
Vol 21 (Special-Issue) ◽  
pp. 18-23 ◽  
Author(s):  
Antonio Garcia-Cabot
Keyword(s):  
Mobile Devices ◽  
Mobile Device ◽  
Learning Process ◽  
Multi Agent System ◽  
Agent System ◽  
E Learning ◽  
Multi Agent

Abstract E-learning has been a revolution in recent years in the training field. This, combined with the increased use of the mobile devices has caused the emergence of the m-learning. Hence new problems have appeared in the training field, such as showing correctly some learning contents in a mobile device that has restricted features or taking into account the learner’s context in the learning process, because the learner can be anywhere. Because of this, this paper proposes a new multi-agent system for adapting the learning contents to the learner’s competences, to the learner’s context and to his/her mobile device. The paper also describes in detail the prototype developed for testing the proposed design.

scholarly journals An Adaptive Normative Multi Agent System using WEb 3.0 for e-Learning Platform

2013 ◽  
Vol 4 (12) ◽  
pp. 7-16
Author(s):  
Namrata DHANDA ◽  
Manuj DARBARİ ◽  
Neelu Jyoti AHUJA ◽  
Imran Ali SIDDIQU
Keyword(s):  
Multi Agent System ◽  
Community Based ◽  
Agent System ◽  
Web 3.0 ◽  
Learning Platform ◽  
E Learning ◽  
Multi Agent ◽  
Single User ◽  
Community Based Learning ◽  
User Learning

The growing concern for education and innovative technologies has led to a new dimension of learning. The paper proposes a new framework NormATel using the concept of Normative Multi-Agent system, Activity Theory and e-Learning. The basic idea of the paper is to make e-learning more user specific using the concept of Web 3.0, like its ability to work on two separate modes: single user learning and community based learning. The proposed framework is verified using Deontic Logic.

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