Journal of Information Technology & Software Engineering
Open Access
ISSN: 2165- 7866
ISSN: 2165- 7866
Rasha Gaffer M Helali
College of Sciences and Home Economics,
Bishah 67714
Saudi Arabia
Research Article
Predicting Student Academic Performance in KSA using Data Mining Techniques
Author(s): Nawal Ali Yassein, Rasha Gaffer M Helali and Somia B MohomadNawal Ali Yassein, Rasha Gaffer M Helali and Somia B Mohomad
The main objective of higher education institutions is to provide quality education to its students. One way to achieve highest level of quality is to identify factors affecting academic performance and then trying to resolve weakness of these factors. The specific objective of the proposed research work is to find out if there are any patterns in the available data (student and courses records) that could be useful for predicting students’ performance. The study involved a sample of 150 students collected from Najran University students in Saudi Arabia. The data was captured and arranged with the use of statistical package for social sciences (SPSS) and data mining tool (clementine). Developing an accurate student’s performance prediction model is challenging task. Data mining based model were used to identify which of the known factors can give an early indicator of expe.. View More»
DOI:
10.4172/2165-7866.1000213