Modeling Academic Performance through Internet Usage Patterns Using Binary Logistic Regression: A Case Study in AIUB
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Abstract
This study investigates the impact of internet usage patterns on the academic performance of undergraduate students at American International University-Bangladesh (AIUB) using a binary logistic regression approach. While previous research on academic performance determinants in Bangladeshi universities has largely been qualitative, this study combines both qualitative and quantitative analyses to provide a comprehensive perspective. Data from 705 students across various departments were analyzed to identify key factors influencing academic success. The results of the study on internet use and its effect on academic achievement show that there are differences in the consequences of different internet engagement patterns on students' success. Students who studied online for longer periods of time performed better academically; those who studied for at least three hours a day were around 1.2 times more likely to obtain satisfactory grades than those who studied for shorter periods of time (p = 0.01). On the other hand, using the internet for leisure activities like listening to music or viewing movies has been linked to worse academic results. Pupils who participated in these activities were around 0.87 times more likely to receive satisfactory grades (p = 0.00), indicating that using the internet for amusement purposes can divert attention away from academic work. However, neither internet use for gaming (p = 0.78) nor social networking (p = 0.44) had a statistically significant effect on academic performance, suggesting that these activities may not directly be detrimental to academic success or that their effects may be mitigated by other factors like efficient time management. In a similar vein, there was no discernible impact of using the internet for adult content on academic performance (p = 0.23), indicating that its influence may be too subtle or limited to a small area to have a major impact on general academic outcomes. These results emphasize how crucial it is to encourage students to use the internet for productive purposes to promote their academic success while controlling potential distractions from entertainment-related activities. These findings offer critical insights for educators and policymakers, suggesting that targeted interventions focused on mental health, balanced internet use, and managing extracurricular commitments can enhance the academic performance of students.
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Publication Details
- Type of Publication: Conference
- Conference Name: 3rd International Conference on Mathematical Analysis and Application in Modelling 2024 (ICMAAM-2024)
- Date of Conference: 12/05/2024 - 12/07/2024
- Venue: Chittagong University of Engineering and Technology (CUET)
- Organizer: Chittagong University of Engineering and Technology (CUET)