Designing A Model to Analyze the Impact of Applied and Mathematical Subjects on Student Academic Achievement

Babiker Gsmallah ELshiekh Mustafa; Khalid Mohammed Osman  Saeed; Mohamed Mohammed  Othman; Mohammed Fadual Almola  Abbas

Authors

Babiker Gsmallah ELshiekh Mustafa oiu
Khalid Mohammed Osman Saeed Faculty of Computer Science and Information Technology Omdurman Islamic University ,Khartoum, Sudan
Mohamed Mohammed Othman Faculty of Computer Science and Information Technology Omdurman Islamic University ,Khartoum, Sudan
Mohammed Fadual Almola Abbas Faculty of Computer Science Al-Mughtaribeen University, Khartoum, Sudan

Abstract

Educational institutions need to analyze their data to improve the educational process,
which faces numerous challenges, such as the difficulty of measuring learning outcomes and the
factors that influence them, and the lack of knowledge about the causes of student academic
decline. This research aims to provide a comprehensive study of the use of data mining techniques
in educational institution data. This study utilizes classification technology, one of the most
important data mining techniques, and applies it to a sample of students from the College of
Computer Studies and Information Technology at the Universities of Omdurman Islamic University and West Kordofan University.

The data were analyzed using their grades. Five classification models were constructed and
compared in terms of the accuracy of the results, model construction time, and error rate. The goal
was to ensure the best results. The JRIP algorithm was chosen, achieving the best results among
the algorithms based on the specified factors. This enabled the researcher to clearly present the
results, analyze, and understand the extent of the impact of practical subjects on student academic
achievement compared to theoretical subjects, and propose appropriate solutions to be presented
to relevant educational authorities to assist them in decision-making.