Structuring e-learning multi-criteria decision making problems

Abstract

Problem structuring is one of the most critical phases of decision making process. A well-posed problem has direct impact on effective decision making, especially when we use the multi-criteria decision making methods. There are different decision making methods that have been used for decision making on e-learning issues in higher education, but the most suitable method for this kind of problems is the Analytic Network Process (ANP). ANP meets all the theoretical requirements of decision making in higher education, but policy makers use it very rarely in practice because of its implementation weaknesses. One of the weaknesses is a lack of support in structuring problem in the form of a network. This paper brings an overview of several problem structuring methods and approaches, such as simple top-down and bottom-up approaches, the PrOACT approach, ISM (Interpretative Structural Modelling), DEMATEL (Decision Making Trial and Evaluation Laboratory) and the PAPRIKA structuring method. It also brings analysis of how those structuring methods and approaches help overcome some of the ANP weaknesses. Finally, we provide some recommendations of how to design a new problem structuring method that fits the ANP needs.