English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Plus annual

Presents the access of premium content as premium feature

Premium Content

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Tools annual

Global: Zendy Free Plan

Global: Zendy Tools monthly

Global: Zendy Plus monthly

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.

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