Authors : Tichavasia Alex Dandadzi and Solly Matshonisa Seeletse
Abstract: This study presents the results of an exploratory quantitative research study undertaken to pilot an electronic admission of students at the Sefako Makgatho Health Sciences University (SMU). SMU’s School of Science and Technology (SST) admit students who apply for admission by manually allocating space and rejecting applications. Wasted time was vast. Mistakes were sometimes detected with SMU students. Some students were admitted when they should have been rejected and others were rejected when they should have been admitted. The study presents a software solution for student selection. It then tests with the marks of previous applications to check the consistency in the previous approach with that of the software. The results showed that the manual method was heavily too slow, prone to error and lacked quality proper checks. The software application identified mistakes in admissions and rejections made in the past while in its own application was impressively accurate and quick.
Tichavasia Alex Dandadzi and Solly Matshonisa Seeletse, 2020. Student e-Admission Solution for a Faculty of Sciences, Sefako Makgatho Health Sciences University, South Africa. Journal of Engineering and Applied Sciences, 15: 2885-2893.