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dc.contributor.authorKurilov, Jevgenij
dc.contributor.authorSėrikovienė, Silvija
dc.date.accessioned2023-09-18T17:21:51Z
dc.date.available2023-09-18T17:21:51Z
dc.date.issued2010
dc.identifier.other(BIS)KTU02-000042716
dc.identifier.urihttps://etalpykla.vilniustech.lt/handle/123456789/122365
dc.description.abstractThe paper is aimed to analyse the application of several scientific approaches, methods, and principles for evaluation of quality of learning objects for Mathematics subject. The authors analyse the following approaches to minimise subjectivity level in expert evaluation of the quality of learning objects, namely: (1) principles of multiple criteria decision analysis for identification of quality criteria, (2) technological quality criteria classification principle, (3) fuzzy group decision making theory to obtain evaluation measures, (4) normalisation requirement for criteria weights, and (5) scalarisation method for learning objects quality optimisation. The applied approaches have been used practically for evaluation of learning objects while implementing European Lifelong Learning programme's eQNet project in Lithuanian comprehensive schools in winter and spring 2010.eng
dc.format.extentp. 133-136
dc.format.mediumtekstas / txt
dc.language.isoeng
dc.relation.isreferencedbyConference Proceedings Citation Index - Science (Web of Science)
dc.titleApplication of scientific approaches for evaluation of quality of learning objects in eQNet project
dc.typeStraipsnis konferencijos darbų leidinyje Web of Science DB / Paper in conference publication in Web of Science DB
dcterms.accessRightsISI WOS:000291831900026
dcterms.references13
dc.type.pubtypeP1a - Straipsnis konferencijos darbų leidinyje Web of Science DB / Article in conference proceedings Web of Science DB
dc.contributor.institutionVilniaus Gedimino technikos universitetas Vilniaus universitetas
dc.contributor.institutionVilniaus universitetas Kauno technologijos universitetas
dc.contributor.facultyFundamentinių mokslų fakultetas / Faculty of Fundamental Sciences
dc.subject.researchfieldN 001 - Matematika / Mathematics
dc.subject.researchfieldT 007 - Informatikos inžinerija / Informatics engineering
dc.subject.enlearning object
dc.subject.enmultiple criteria decision analysis
dc.subject.enoptimisation methods
dc.subject.enexpert evaluation
dc.subject.enquality criteria
dcterms.sourcetitleIntelligent technologies in logistics and mechatronics systems : proceedings of the 5th international conference ITELMS'2010, June 03-04, 2010, Panevėžys, Lithuania / Kaunas University of Technology Panevezys Institute. Panevezys Technology and Science Park, Warsaw Motor Transport Institute, Tallin University of Technology, Riga Technical University
dc.publisher.nameTechnologija
dc.publisher.cityKaunas
dc.identifier.doiVGT02-000025671
dc.identifier.elaba3064860


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