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Gender-based comparison of students' academic performance using regression models |
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| รหัสดีโอไอ | |
| Creator | 1. Aderibigbe Israel Adekitan 2. Olamilekan Shobayo |
| Title | Gender-based comparison of students' academic performance using regression models |
| Publisher | Faculty of Engineering, Khon Kaen University |
| Publication Year | 2563 |
| Journal Title | Engineering and Applied Science Research |
| Journal Vol. | 47 |
| Journal No. | 3 |
| Page no. | 241-248 |
| Keyword | Teaching and learning strategies, Data mining algorithms, Educational data mining, Machine learning, Knowledge discovery, Performance evaluation methodologies |
| URL Website | https://www.tci-thaijo.org/index.php/easr/index |
| Website title | Engineering and Applied Science Research |
| ISSN | 2539-6161 |
| Abstract | The process required to gain admission into tertiary institutions is challenging forNigerian students. This is due to the variousexaminations and requirements that must be met to be qualified for admission among innumerableapplicants. It is therefore imperative that after admission, students must pursue academic excellence to justify the opportunity given to them, and this will also improve their chances of success after graduation. In a university, some first-year students struggle because of cultural disadvantages, as well as their economic and social backgrounds. This has resulted inpoor performance by somestudents and inevitably led to bad grades at graduationand some dropout of the university without graduating. Female students are often said to perform a bit poorer in terms of academic performance. This studyisa comparative performance analysis of male and female students in Science, Technology, Engineering and Mathematics (STEM),conducted using regression models. Trend analysis shows that inthis case study, female students have a tendency to improve on their academic performance from theirfirst to their final year. The highest R-squared value of 0.7069 was achieved based on a regression analysis of the performance of1,093 female students. |
