Several decision support methods for evaluating the quality of learning scenarios

Abstract

The paper aims to investigate and present the comprehensive decision support system consisting of the quality model and two different decision support methods for the expert evaluation of the quality of learning scenarios. The main problem here is how to elaborate objective, exact, and simple to use decision support approaches, models, and methods for choosing the high-quality alternatives of learning scenarios' suitable to particular learning styles. Both Triangular Fuzzy Numbers (TFN) method and Analytic Hierarchy Process (AHP) are analysed, improved, and practically applied to present the multiple criteria decision analysis process of selecting learning scenarios suitable for particular learning styles. A novel method of TFN application to establish the weights of the quality criteria, and a novel method of consecutive four steps AHP application to establish the weights and values of the quality criteria are presented in the paper. Several multiple criteria decision analysis principles are applied to create the comprehensive learning scenarios quality model. Two practical examples of learning scenarios implemented in large scale 7FP iTEC project are evaluated against the proposed model and methods.