Application of scientific approaches for evaluation of quality of learning objects in eQNet project

Abstract

The 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.