Students Academic Performance Prediction Using Decision Tree

CHAPTER ONE 1.0. Introduction In an educational system, a large amount of data is kept. This data may be students’ data, alumni data, teachers’ data, non-teaching staff data, resource data, and so on. Educational data mining is used in discovering the patterns in these data for decision-making(EdinOsmanbegovic, 2012). Educational data mining can answer a lot of questions from the patterns obtained from student data, questions such as: 1.      Who are the students at risk of failing in the future? 2.      What is the quality of student participation? 3.      Who are the students likely to drop …