New TFN based method for evaluating quality and reusability of learning objects

Abstract

The aim of the paper is to present a new TFN (Triangular Fuzzy Numbers) based method for the expert evaluation of the quality and reusability of learning objects (LOs). This novel method consists of the consecutive application of Fuzzy numbers theory to establish the ratings (values) of the LO quality criteria, a new TFN based method to establish the weights of the LO quality criteria, and MCEQLS (Multiple Criteria Evaluation of the Learning Software) approach to create the LOs quality model and obtain the final evaluation results. Several practical examples of LOs alternatives have been practically evaluated against the proposed method. Research results have shown that the proposed TFN based method is quite objective, exact and easy to use while selecting qualitative reusable LOs alternatives in the market.