Data mining application in education

In the digital era we live, the education produces huge amount of data from different resources like learning management system, electronic tests, students records. Educational Data Mining is the discovery of hidden useful knowledge and pattern in educational data concerned with studying and analyzing data from academic database, which is very large datasets to reveal main concept and relationships that improves education process and making more precise decisions. In this paper we explored common data mining techniques and their application in educational context, were automatically used to extract knowledge from huge datasets in the form of patterns and relationships review a set of criteria with a group of impact factors on each then describing percent of impacting. Today, educational data faces the biggest challenges are the rapid growth of data and using it to improve educational system for the students and their performance, different data mining methods works and process data in various data mining tasks like: clustering, classification, association rule, prediction. This paper offers a review of the latest data mining techniques application in education including improving teacher and student’s learning performance, course adaptation, predicting drop-out students, knowledge discovery on academic achievement and Enhancing academic research also describe benefit and challenges that faced