Application of Neutrosophic Soft Set to Assess Academic Performance of Students Using Bloom's Taxonomy

Abstract

A key aspect of human cognition is learning, a universal process that all humans undergo. In order to learn or improve one's knowledge and abilities, it integrates influences from the cognitive, emotional, and environmental spheres. There are vast amounts of studies and a wide range of hypotheses that attempt to describe the workings of the learning process. The purpose was to gain an objective understanding of how individuals learn and then build pedagogical strategies appropriately. In this chapter, neutrosophic soft sets, a novel mathematical technique for dealing with uncertainty, are utilized to measure student learning capabilities with Blooms taxonomy. Generations of educators have used Bloom's taxonomy as a framework for instruction and evaluation, and they continue to do so today, because of the taxonomy's emphasis on the need of engaging students at all levels of cognitive development. In addition, a practical example from the teaching process would be given to show how it might be used in practice.