Multi-agent System for Expert Evaluation of Learning Objects from Repository

2015 ◽  
pp. 320-330
Author(s):  
Valentina Tabares ◽  
Néstor Duque ◽  
Demetrio A. Ovalle
Keyword(s):  
Learning Objects ◽  
Expert Evaluation ◽  
Multi Agent System ◽  
Agent System ◽  
Multi Agent ◽  
Evaluation Of Learning

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.

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
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