The design and development of the MetAR framework for designing an augmented reality application based on experts' consensus.

Abstract

This study aims to design and develop a framework for designing a metacognitive-supported augmented reality application for teaching and learning basic pneumatic systems. This multi-method study with the fuzzy delphi method (FDM) and interpretive structural modelling (ISM) approach involved 12 experts in multidisciplinary fields. The data was collected using seven Likert-type scale questionnaires. The design phase of the framework using the FDM found that the expert consensus for all principal components and the elements is greater than 75% with the threshold value, d ≤ 0.2. In contrast, the development phase of the framework was performed based on experts’ voting using the ISM approach. The Concept Star software was used to develop the sequence of the elements based on their priority from every principal component to produce the MetAR design framework.