Open AccessEvaluation of multiple criteria quality of mathematics learning objects in eQNet project
Author(s) -
Silvija Sėrikovienė,
Eugenijus Kurilovas
Publication year - 2010
Publication title -
lietuvos matematikos rinkinys
Language(s) - English
Resource type - Journals
eISSN - 2335-898X
pISSN - 0132-2818
DOI - 10.15388/lmr.2010.58
Subject(s) - quality (philosophy) , identification (biology) , computer science , fuzzy logic , fuzzy mathematics , management science , fuzzy set , artificial intelligence , engineering , fuzzy classification , philosophy , botany , epistemology , biology
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 toobtain 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.