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dc.contributor.authorKurilov, Jevgenij
dc.contributor.authorVinogradova-Zinkevič, Irina
dc.contributor.authorKubilinskienė, Svetlana
dc.date.accessioned2023-09-18T16:27:37Z
dc.date.available2023-09-18T16:27:37Z
dc.date.issued2016
dc.identifier.issn2029-4913
dc.identifier.urihttps://etalpykla.vilniustech.lt/handle/123456789/114167
dc.description.abstractThe paper is aimed to present a new methodology to evaluate the quality of features and functionality of learning object repositories (LORs). LORs quality of features and functionality is analysed in terms of engaging LORs users and content producers and thus can be referred as LORs quality-in-use. This methodology consists of creation and consequent application of LOR quality-in-use model and methods. LOR quality-in-use model is presented in the paper. The methodology for evaluating LOR quality-in-use is based on general MCEQLS (Multiple Criteria Evaluation of the Quality of Learning Software) approach to evaluate the quality of learning software. The essential part of the novel methodology is application of improved Fuzzy AHP method to establish LOR quality-in-use criteria weights. It is shown that the methodology created is suitable and stable for evaluating the quality of LORs features and functionality. The results of the expert evaluation of quality-in-use of three LORs most popular in Lithuania against the methodology proposed are presented in more detail. The novelty of the presented research is the novel instrument consisting of LOR quality-in-use model and Fuzzy AHP method. Presented methodology could serve as a technological tool for decision making in education overall and in different areas of economy.eng
dc.formatPDF
dc.format.extentp. 142-155
dc.format.mediumtekstas / txt
dc.language.isoeng
dc.relation.isreferencedbyIndex Copernicus
dc.relation.isreferencedbyScopus
dc.relation.isreferencedbyScience Citation Index Expanded (Web of Science)
dc.relation.isreferencedbyCEEOL – Central and Eastern European Online Library
dc.source.urihttp://www.tandfonline.com/doi/pdf/10.3846/20294913.2015.1074950
dc.subjectFM03 - Fizinių, technologinių ir ekonominių procesų matematiniai modeliai ir metodai / Mathematical models and methods of physical, technological and economic processes
dc.titleNew MCEQLS fuzzy AHP methodology for evaluating learning repositories: a tool for technological development of economy
dc.typeStraipsnis Web of Science DB / Article in Web of Science DB
dcterms.references33
dc.type.pubtypeS1 - Straipsnis Web of Science DB / Web of Science DB article
dc.contributor.institutionVilniaus universitetas Vilniaus Gedimino technikos universitetas
dc.contributor.institutionVilniaus Gedimino technikos universitetas Vilniaus universitetas
dc.contributor.institutionVilniaus universitetas
dc.contributor.facultyFundamentinių mokslų fakultetas / Faculty of Fundamental Sciences
dc.subject.researchfieldN 001 - Matematika / Mathematics
dc.subject.researchfieldN 009 - Informatika / Computer science
dc.subject.researchfieldT 007 - Informatikos inžinerija / Informatics engineering
dc.subject.ltspecializationsL104 - Nauji gamybos procesai, medžiagos ir technologijos / New production processes, materials and technologies
dc.subject.enalternative
dc.subject.encriteria
dc.subject.endecision making
dc.subject.eninformation technology
dc.subject.enlearning
dc.subject.enmultiple criteria decision analysis
dc.subject.enquality
dc.subject.enweight
dcterms.sourcetitleTechnological and economic development of economy
dc.description.issueno 1
dc.description.volumeVol. 22
dc.publisher.nameTechnika ; Routledge-Taylor & Francis group
dc.publisher.cityVilnius ; London
dc.identifier.doi000368709000007
dc.identifier.doi10.3846/20294913.2015.1074950
dc.identifier.elaba15131115


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