Please use this identifier to cite or link to this item: https://scidar.kg.ac.rs/handle/123456789/16843
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dc.contributor.authorStefanovic, Miladin-
dc.contributor.authorTadic, Danijela-
dc.contributor.authorArsovski, Slavko-
dc.contributor.authorArsovski, Zora-
dc.contributor.authorAleksic, Aleksandar-
dc.date.accessioned2023-02-27T07:37:35Z-
dc.date.available2023-02-27T07:37:35Z-
dc.date.issued2010-
dc.identifier.issn0949-149Xen_US
dc.identifier.urihttps://scidar.kg.ac.rs/handle/123456789/16843-
dc.description.abstractQuality is a phenomenon which is in the core of any type of e-learning development. There is a demand for e-training systems evaluation in order to benchmark them and improve factors that will lead to an effective high quality e-training system. This paper introduces a multi-criteria method for e-learning quality evaluation. To evaluate an e-learning system, we decomposed the e-learning process into sub-processes and activities. The quality of each activity was evaluated both numerically and using linguistic expressions. Following this methodology a number of issues were addressed, such as trainee satisfaction, relative importance of decision criteria, measurement and analysis of trainee on-the-job performances, improvement of the relationships with management and other stakeholders. Quantitative presentations of the e-training process quality enable comparison of different e-training processes and their ranking according to the level of quality.en_US
dc.language.isoenen_US
dc.relation.ispartofInternational Journal of Engineering Educationen_US
dc.rightsAttribution-NonCommercial-NoDerivs 3.0 United States*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/3.0/us/*
dc.subjecte-training processen_US
dc.subjectfuzzy dataen_US
dc.subjectevaluationen_US
dc.titleA Fuzzy Multicriteria Method for E-learning Quality Evaluationen_US
dc.typearticleen_US
dc.description.versionPublisheden_US
dc.type.versionPublishedVersionen_US
Appears in Collections:Faculty of Engineering, Kragujevac

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