Two and Three Dimensional Support Vector Algorithm for Students’ Classification

Abstract

In an era where technology with its development is constantly reshaping the field of professional practice, it is evident that educating engineers nowadays is a challenging task. This is supported by the increasingly popular teaching methods in which traditional learning methods are combined with modern technologies, all with the aim of greater motivation for learning and work among the students. The subject of research in this paper is specifically one teaching method, adapted for teaching at technical faculties, which uses machine learning methods (support vector method) in its background. The introduced method recognizes the importance of assessing students' abilities and knowledge because a good classification of students allows the teacher to plan the lesson more easily and choose the approach they believe will give the best results.