A Novel student clustering model for the learning simplification in educational Environments

Abstract

Students' clustering is considered to be a method of granting students many different ways of being able to learn by taking into account the student's degree. The definition of clustering can be "a group of steps that divide a group of information or (things) in a group of valuable secondary classes, which are named clusters. This implies that a cluster can be a group of things that are "alike" among them and that can be "not alike" to things that are part of other types of clusters. Thus, in this study we want to make students into different clusters or groups in order to organize students and lecturers into more interactive ways, and to extract an education that is related to some particular information and to produce some comments and feedback to the academic teacher. Conclusion, this is the specific research effort that forms the final phase. In particular, it is the result of satisfaction when deviations exist in the artifact behaviour, which is derived from the (multiply) revised hypothetical predictions. Accordingly, the results are then declared as 'good enough'.