Abstract:
Nowadays, large amount of data are stored in different databases and are
increasing rapidly. These databases contain data that can be useful for predicting
students’ academic performance, and will help to improve the academic educational
environment. Educational Data Mining is used to study the available data stored in the
system database and to create new knowledge out of it. C4.5 (J48) classification
algorithm is applied to create a decision tree model that will predict the academic
performance of Information technology students of the Rakhine State. The result of the
decision tree predicts the possible students who will have the chance to graduate or do
not have the chance to graduate based on their historic data, and this will help teachers to
provide appropriate inputs to help the failing students.
