BulDML at Institute of Mathematics and Informatics >
International Book Series Information Science and Computing >
2008 >
Book 6 Methodologies and Tools of the Modern (e-) Learning >

Please use this identifier to cite or link to this item:

Title: Quality Estimation of e-Learning Systems
Authors: Vorobkalov, Pavel
Kamaev, Valerij
Keywords: E-Learning
Adaptive Learning Systems
Quality Estimation
Issue Date: 2008
Publisher: Institute of Information Theories and Applications FOI ITHEA
Abstract: Existing approaches to quality estimation of e-learning systems are analyzed. The “layered” approach for quality estimation of e-learning systems enhanced with learning process modeling and simulation is presented. The method of quality estimation using learning process modeling and quality criteria are suggested. The learning process model based on extended colored stochastic Petri net is described. The method has been implemented in the automated system of quality estimation of e-learning systems named “QuAdS”. Results of approbation of the developed method and quality criteria are shown. We argue that using learning process modeling for quality estimation simplifies identifying lacks of an e-learning system for an expert.
ISSN: 1313-0455
Appears in Collections:Book 6 Methodologies and Tools of the Modern (e-) Learning

Files in This Item:

File Description SizeFormat
IBS-06-p03.pdf192.61 kBAdobe PDFView/Open


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.


Valid XHTML 1.0!   Creative Commons License DSpace Software Copyright © 2002-2009  The DSpace Foundation - Feedback