Educational Data Mining To Improve The Academic Performance in Higher Education

Globalization and innovation are unlimited interest for the public sector and private business in the world, especially in the higher education institutions. Educational data mining (EDM) is mainly one of the business processes nowadays that attempt to bring the global innovation through improving and enhancing their processes and procedures to fulfill all the requirements and needs of the students as well as the institutions. The EDM considered mostly concern with any research concerning the applications of the DM and developing innovative techniques for DM in the educational sector. This study mainly combined the use of the powerful online E-learning management system (Moodle) with DM tools to improve the performance and effectiveness of the learning and teaching manners using the innovative daily data that collected from the educational institutions. Learning analytical enhance rubric (LAe-R) is the main tool that can retrieve the data from the activities of the students on the Moodle. The use of the LAe-R can lead for many benefits for both of the educators and students, for example, support the struggling students, a better way for students’ advising, enhance the administration processes and enhance the performance of the students to learn from each other