Evaluation of multiple criteria quality of mathematics learning objects in eQNet project
Silvija Sėrikovienė
Kauno technologijos universitetas
Eugenijus Kurilovas
Vilniaus Gedimino technikos universitetas
Published 2010-12-21


learning object
multiple criteria decision analysis
expert evaluation
quality criteria

How to Cite

Sėrikovienė S. and Kurilovas E. (2010) “Evaluation of multiple criteria quality of mathematics learning objects in eQNet project”, Lietuvos matematikos rinkinys, 51(proc. LMS), pp. 319–324. doi: 10.15388/LMR.2010.58.


The paper is aimed to analyse the application of several scientific approaches, methods, and principles for evaluation of quality of digital learning objects (LOs) for Mathematics subject. The authors analyse the following approaches to minimise subjectivity level in expert evaluation of LOs quality, 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 LOs quality evaluation. The applied approaches have been used practically for evaluation of LOs while implementing European Lifelong Learning programme’s eQNet project in Lithuanian comprehensive schools in winter and spring 2010.

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