Towards Security, Data Privacy and Learning Performance

Abstract

The paper presents an exploration and discussion regarding the influence of security level of eLearning educational environment and utilized data privacy mechanisms on the students' learning performance. The students' opinion is also taken into consideration through developed online survey. In our best knowledge such analysis is proposed for the first time in this work. The findings outline the strong connection among learning analytics, security and data privacy and learning performance through created predictive model that is based on Random Forest machine learning algorithm and is characterized with high accuracy.