Classifying students based on fuzzy logic to devise individual study plans

Abstract

E-learning has become a very popular way to involve students in educational paths. Today many different proposals for e-learning paths are available, and the evaluation of different study plans is very important, both from the student’s side and from the educational institution perspective, in order to have better and more motivated participants. This article is devoted to the classification of students by the level of knowledge for the adequate selection of an individual study plan.