Student ranking by means of non-linear mathematical optimization of participation marks

Abstract

Ranking students according to their growing participation marks could encourage them to develop self-motivational attitudes toward their academic progress. This paper describes the ranking of students by means of a non-linear mathematical optimization model. The model uses optimization techniques to find the best weights for calculating students' participation marks, effectively eliminating manual evaluation of all possible equations. The optimal weights are used to calculate the average participation marks and the students are ranked accordingly