Knowledge modeling for adaptive content selection in educational hypermedia systems

被引：0

作者：

Karampiperis, P ^{[1
]}

Sampson, D ^{[1
]}

机构：

[1] Univ Piraeus, Dept Technol Educ & Digital Syst, GR-18534 Piraeus, Greece

来源：

Proceedings of the IASTED International Conference on Web-Based Education | 2004年

关键词：

learning objects; adaptive hypermedia; knowledge modeling;

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Adaptive content selection and sequencing is recognized as among the most interesting research questions in adaptive educational hypermedia systems. In this paper, we address the adaptive content selection problem in educational hypermedia systems proposing a concrete methodology for capturing expert's knowledge on selection of learning content following the philosophy and principles of techniques derived from computational intelligence. The result is a generic decision model that mimics the way an expert decides on the selection problem.

引用

页码：408 / 413

页数：6