Get 20M+ Full-Text Papers For Less Than $1.50/day. Start a 14-Day Trial for You or Your Team.

Learn More →

From conceptual modelling to knowledge representation in intelligent instructional environments

From conceptual modelling to knowledge representation in intelligent instructional environments This paper presents a new solution for conceptually modeling the trainingdomain knowledge of intelligent computerassisted instructional ICAI systems. Various cognitive demands from learners impose various modalities of presenting and structuring the knowledge to be taught. This paper is presenting a theoretical framework allowing to develop coherent, flexible models for the trainingdomain knowledge of an ICAI system. A case study and an authoringsystem are also presented, in order to describe the main features of the modeling methods. This new approach in ICAI systems domainknowledge structuring and representation can offer a solution to the problem of adapting the instructional system interaction to users with different learning styles and needs. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Interactive Technology and Smart Education Emerald Publishing

From conceptual modelling to knowledge representation in intelligent instructional environments

Interactive Technology and Smart Education , Volume 1 (3): 14 – Aug 31, 2004

Loading next page...
 
/lp/emerald-publishing/from-conceptual-modelling-to-knowledge-representation-in-intelligent-nX1Tzoycin
Publisher
Emerald Publishing
Copyright
Copyright © Emerald Group Publishing Limited
ISSN
1741-5659
DOI
10.1108/17415650480000019
Publisher site
See Article on Publisher Site

Abstract

This paper presents a new solution for conceptually modeling the trainingdomain knowledge of intelligent computerassisted instructional ICAI systems. Various cognitive demands from learners impose various modalities of presenting and structuring the knowledge to be taught. This paper is presenting a theoretical framework allowing to develop coherent, flexible models for the trainingdomain knowledge of an ICAI system. A case study and an authoringsystem are also presented, in order to describe the main features of the modeling methods. This new approach in ICAI systems domainknowledge structuring and representation can offer a solution to the problem of adapting the instructional system interaction to users with different learning styles and needs.

Journal

Interactive Technology and Smart EducationEmerald Publishing

Published: Aug 31, 2004

There are no references for this article.