Applying learning analytics methods to enhance learning quality and effectiveness in virtual learning environments

Abstract

The paper is aimed to analyse application of learning analytics (LA) methods to enhance learning quality and effectiveness in virtual learning environments (VLEs) by the means of learning personalisation. Since study and learning processes significantly moved to virtual environment, it is very important to analyse what is state-of-the-art in the area. Therefore, first of all, systematic review has been performed. The data collected from VLEs can be aggregated over large numbers of students and can contain many variables that LA / educational data mining (EDM) algorithms can explore for model building. Research presented in the paper has also shown that these LA methods and techniques could be successfully used to enhance learning quality and effectiveness by the means of learning personalisation in VLEs. In the paper, five-stage methodology is presented aimed at enhancing students' learning quality and effectiveness.