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Bringing AI to E-Learning: The Case of a Modular, Highly Adaptive System

Bringing AI to E-Learning: The Case of a Modular, Highly Adaptive System
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Author(s): K. Giotopoulos (University of Patras, Greece), C. Alexakos (University of Patras, Greece), G. Beligiannis (University of Patras, Greece)and A. Stefani (University of Patras, Greece)
Copyright: 2012
Pages: 13
Source title: Advancing Education with Information Communication Technologies: Facilitating New Trends
Source Author(s)/Editor(s): Lawrence A. Tomei (Robert Morris University, USA)
DOI: 10.4018/978-1-61350-468-0.ch011

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Abstract

This paper presents a newly developed student model agent, which is the basic part of an e-learning environment that incorporates Intelligent Agents and Computational Intelligence Techniques. The e-learning environment consists of three parts, the E-learning platform Front-End, the Student Questioner Reasoning and the Student Model Agent. The basic aim of this contribution is to describe in detail the agent’s architecture and the innovative features it provides to the e-learning environment through its utilization as an autonomous component. Several basic processes and techniques are facilitated through the agent in order to provide intelligence to the e-learning environment.

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