The use of the PIPRECIA method for assessing the quality of e-learning materials

Abstract

The weights of evaluation criteria could have a significant impact on the results obtained by using multiple criteria decision-making methods, which is why a number of methods have been proposed for determining them. In this article, the use of a newly proposed method for determining criteria weights, the PIvot Pairwise RElative Criteria Importance Assessment (PIPRECIA) method, is presented in the case of determining weights of criteria for assessing the quality of e-learning materials. The main goal is to define which criteria are the most important and have the crucial influence on the quality of e-learning material, as well as to demonstrate the applicability of the proposed method and the simplicity of its application.