Abstract:

This paper answers the question of how data mining could be applied in E-learning systems as a way to predict students’ grades from their behavior in perquisite learning modules. It helps earlier in detecting the particular dropouts along with students exactly who need unique attention and invite the teacher to deliver appropriate advising/counseling. Data Mining is really a multidisciplinary area focusing on methodologies for extracting valuable knowledge coming from students log and there are many useful data mining methods to extracting the data. This knowledge can be used to increase the caliber of education. Data mining can be employed for selection making in educational process. A decision tree classifier is powerful and popular tools for classification and prediction. It is applied on students’ past performance data to generate the model and this model can be used to predict the students’ performance.

Keywords:

Data mining, classification techniques, e-learning, Moodle log, descision tree, CART, C4.5, JRIP.