Educational Data Mining (EDM) as a Model for Students' Evaluation in Learning Environment

The theory of Educational Data Mining (EDM) is a branch of knowledge domain that presence to have a narrow relationship to mine data from the educational institution. The EDM principally uses computational approaches to analyze educational data to dig up some information related to the context of teaching and learning activities. EDM is able to manage learning materials and the environment through a Learning Management System. The purpose of this study is to identify a knowledge to conduct an analysis of student motivation on e-Learning system based on data mining techniques. We use a dataset of the learning system activities in the Program of Distance Learning hosted by the second batch of APTIKOM Consortium. In this study, the association rules and classification techniques are used to identify patterns of knowledge and reorganize the virtual course based on patterns found. The expected result of this research can contribute to a model of Data Pre-Preparation Process and its steps from Moodle log data as a reference for the researchers. For the future research, we recommend using different datasets from techniques to comprehend divers of result expectations.