Evaluation of the Bias of Student Performance Data with Assistance of Expert Teacher

Abstract

Machine Learning algorithms have many advantages and a great potential for solving complex problems in different domains. However, it is not “magical”. One of its main difficulties lies in recollecting representative data of the domain in order to train the system, otherwise, its efficacy will be seriously compromised. Therefore, a method has been proposed to evaluate the collected data with the assistance of the available domain experts and determine whether it can be used. In this work, the method is applied to evaluate two versions of data gathered on the students’ performance in an undergraduate program course. As a result, it is determined whether they can be used in the training of an Intelligent System that will foretell such performance.