A data preprocessing framework for students´ outcome prediction by data mining techniques

Data mining applied on educational data aims to find useful patterns in large volumes of data in order to transform and optimize educational paths. It involves many steps. This paper presents a case study for a data preprocessing framework for students´ outcome prediction using data collected by Moodle system.