Status: In progress

Over the last few years, the educational data mining techniques have received considerable attention, where these techniques concerned with developing methods for exploring the unique and hidden information that come from educational data. The hidden information that extracted from the educational data are used then to support the decision makers to enhance the education process.

Many data mining and analysis techniques have been proposed to extract hidden information from educational data. The objective of this project is to take advantage of data mining and data analytics to solve some of educational problems such as low student performance which is hinder the development of educational process. In this project, the data will be collected from the Admissions and Registration Unit at the University of Jordan. The data will be related to all aspects of the educational process such as student performance, the academic load of the instructors, the number of the registered courses, and other related data. Once the data collection phase has been completed, the data will be analyzed by applying intelligent methods by taking advantage of data mining techniques.

Funded By: Deanship of Academic Research, The University of Jordan
Budget: 8,000 JD (11,283 $)
Duration: 2019 – 2021 (18 Months)
Lead Investigator: Hamad Alswalgah
Principal Investigators: Ibrahim Aljarah, Yazan Alshmailah, and Hossam Faris