The main objective of this research work is to develop the performance of education in higher schools e-learning systems. This is accomplished with the aide of data mining (DM) techniques. The proposed model is applied on different students. Data is collected using online school tests, reports and quizzes. This paper applies SVM with accuracy 89%, Decision tree with accuracy 89%, M5-Rules with RMS error equal to 1.4621 and Linear Regression with RMS error equal to 2.0017, 3.0089 and 3.6057. Once getting both first and second grades, the presented results show a high predictive accuracy. Not only past student's evaluations affected in their academic achievement, but also other factors like father's and mother's jobs and absences. Briefly, student performance can be improved depending on predictive results and enhancing school systems
Ashraf, Ahmed; El-Bakry, Hazem M.; El-Mashad, Yehia Abd El-Azem; Abd-Elrazik, Samir; and El-Desouky, Mohammed
"Improving the Quality of Education in Higher Schools by Developing the Students Capabilities using Data Mining Techniques,"
Delta University Scientific Journal: Vol. 1
, Article 4.
Available at: https://digitalcommons.aaru.edu.jo/dusj/vol1/iss1/4