Intelligent Agents for Online Learning

A Human Collaborative Online Learning Environment Using Intelligent Agents

This chapter introduces the design and implementation of a multiagent system based on a collaborative online learning environment (COLE). The purpose of developing such an environment is to improve social competences along with traditional content-related ones in lifelong learning. As educators would be unable to handle the huge amount of data concerning human interactions in such a learning en...

Machine Learning for Intelligent Agents

Intelligent Agents for Distance Learning

Distance learning involves a lot of work of human assistants. These assistants need to be connected for answering student doubts and questions. Intelligent agents can do part of this work. However a problem appears with this promised possibility: how to connect educational applications with these agents. This paper presents a solution to this problem, in which both the capture of student’s inte...

Intelligent Agents for E-Learning

We propose the software architecture of a new generation of advisory systems using Intelligent Agent and Semantic Web technologies. Multi-agent systems provide a well-suited paradigm to implement negotiation processes in consultancy situations. Intelligent software agents act as clients and advisors using their knowledge in order to assist human users. In the proposed architecture, the domain k...

Intelligent learning system for online learning

The paper presents an Adaptive Intelligent Learning System (AILS) designed to be used with any Learning Management System (LMS). The adaptiveness provides uniquely identifying and monitoring the learner’s learning process according to the learner’s profile. AILS has been implemented as a multi-agent system. The agents were developed as JADE agents. The paper presents the learning model, system ...