It is possible to assess the learning behavior in online systems or computed based learning backgrounds using data mining techniques on ‘e-learning session activity log data’ from different learning sessions. This information is very useful to improve the e-learning system better. There is a possibility to identify learners’ performance well before the conduction of an examination. The objective of the research is to find weather it is possible to apply Data Mining techniques on this transformed dataset and to predict some information. The educational dataset is used for analyze and also improve any e-Learning models. This research work proposes an Educational Data Mining (EDM) model which provides good performance with precision, recall and f-score. It shows the predictability of students’ grades by mining the e-learning session log data.

E-learning, Learning Analytics(LA), Technology Enhanced Learning(TEL), Educational Data Mining(EDM).

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