Analysis of e-exam data using data mining techniques

Abstract

The assessment of knowledge and competences is an integral part of the learning process. It summarizes the level of student success in achieving the corresponding outcomes and objectives. This paper focuses on analyzing electronic exam data using clustering and association rules in data mining. The aim of this work is to obtain and interpret the results and propose solutions to improve the e-examination system using a descriptive model.