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

被引:4
|
作者
Giotopoulos, K. [1 ]
Alexakos, C. [1 ]
Beligiannis, G. [1 ]
Stefani, A. [1 ]
机构
[1] Univ Patras, Patras, Greece
关键词
Bayesian Networks; Electronic Learning (E-Learning); Evolutionary Algorithms; Intelligent Agents; User Modeling;
D O I
10.4018/jicte.2010040103
中图分类号
G40 [教育学];
学科分类号
040101 ; 120403 ;
摘要
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.
引用
收藏
页码:24 / 35
页数:12
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