Personalized distance learning based on multiagent ontological system

被引：8
|
作者：
Keleberda, I [1 ]
Lesna, N [1 ]
Makovetskiy, S [1 ]
Terziyan, V [1 ]
机构：
[1] Kharkov Natl Univ Radioelect, UA-61166 Kharkov, Ukraine
来源：
IEEE INTERNATIONAL CONFERENCE ON ADVANCED LEARNING TECHNOLOGIES, PROCEEDINGS | 2004年
关键词：
D O I：
10.1109/ICALT.2004.1357654
中图分类号：
TP39 [计算机的应用];
学科分类号：
081203 ; 0835 ;
摘要：
The paper presents architecture of a personalized distance learning system based on multiagent technology and ontological modelling of students' profiles. Delocalization of a student data in the system is achieved by software agents, which assumed to be distributed at different platforms. These platforms operate as separate Web services and use the ACL (Agent Communication Language) for the data transfer. In this paper the algorithm is proposed, according to which the Multiagent Ontological System for Personalized Distance Learning (MOSPDL) solves the tasks of distant learning process automation, which assume utilization of the ontological models of students' and learning resources' profiles.
引用
收藏
页码：777 / 779
页数：3
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