Abstract
According to “COVID-19 Malaysia Updates’ (2021), the first COVID-19 case in Malaysia was reported on January 25, 2020, involving a passenger from China. Since then, people's lifestyles, habits, beliefs, feelings, and behaviors have changed, with working individuals adopting Working From Home (WFH) and students transitioning to Online Distance Learning (ODL). Students need to adapt to a new type of learning from home. Undoubtedly, every student will achieve a different level of academic performance. However, The COVID-19 outbreak has undoubtedly affected the educational context, including the students themselves. Universities have had to face these challenges, and some continue to do so. Therefore, this study aims to identify the main factors influencing a students’ academic performance and how the pandemic affects their learning behavior. In this study, Multiple Linear Regression was used to find the most significant factors affected students’ academic performance during Online Distance Learning (ODL). This study was conducted at UiTM Arau Branch, Perlis Campus, involving students’ part five Diploma in Mathematical Sciences and Bachelor of Science Management Mathematics. Sleeping hours, study hours, number of subjects taken, residential area and gender were the factors included in this study. The results indicate that the residential area is the most influential factor, having a statistically significant impact on students’ Grade Point Average (GPA).
Metadata
Item Type: | Article |
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Creators: | Creators Email / ID Num. Muhamad, Siti Nor Nadrah UNSPECIFIED Muhammat Pazil, Nur Syuhada syuhada467@uitm.edu.my Amran, Nur Atiqah Najihah UNSPECIFIED |
Subjects: | L Education > LB Theory and practice of education > Performance. Competence. Academic achievement Q Science > QA Mathematics > Multivariate analysis. Cluster analysis. Longitudinal method > Regression analysis. Correlation analysis. Spatial analysis (Statistics) |
Divisions: | Universiti Teknologi MARA, Perlis > Arau Campus |
Journal or Publication Title: | Journal of Computing Research and Innovation (JCRINN) |
UiTM Journal Collections: | UiTM Journal > Journal of Computing Research and Innovation (JCRINN) |
ISSN: | 2600-8793 |
Volume: | 9 |
Number: | 2 |
Page Range: | pp. 271-279 |
Keywords: | Academic Performance, Mathematics, Online Learning Regression, Significant Factors |
Date: | September 2024 |
URI: | https://ir.uitm.edu.my/id/eprint/103723 |