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.
Keywords: e-learning, adaptive learning systems, quality estimation.
ACM Classification Keywords: K.3.1 Computer Uses in Education
Link:
QUALITY ESTIMATION OF E-LEARNING SYSTEMS
Pavel Vorobkalov, Valerij Kamaev
http://www.foibg.com/ibs_isc/ibs-06/IBS-06-p03.pdf
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