AI Article Synopsis

  • - The study investigates digital addiction among university entrance test-taking students in Bangladesh, noting an increase in such addiction since the COVID-19 pandemic and highlighting a lack of comprehensive research on the topic.
  • - Data from 2,157 students revealed a digital addiction prevalence of 33.1%, with factors like student status and depression influencing the likelihood of addiction, although no significant differences were found between different districts.
  • - The authors stress the importance of collaboration among educational policymakers, institutions, and parents to combat the rising issue of digital addiction among students.

Article Abstract

Background: The surge in digital media consumption, coupled with the ensuing consequences of digital addiction, has witnessed a rapid increase, particularly after the initiation of the COVID-19 pandemic. Despite some studies exploring specific technological addictions, such as internet or social media addiction, in Bangladesh, there is a noticeable gap in research focusing on digital addiction in a broader context. Thus, this study aims to investigate digital addiction among students taking the university entrance test, examining its prevalence, contributing factors, and geographical distribution using GIS techniques.

Methods: Data from a cross-sectional survey were collected from a total of 2,157 students who were taking the university entrance test at Jahangirnagar University, Bangladesh. A convenience sampling method was applied for data collection using a structured questionnaire. Statistical analyses were performed with SPSS 25 Version and AMOS 23 Version, whereas ArcGIS 10.8 Version was used for the geographical distribution of digital addiction.

Results: The prevalence of digital addiction was 33.1% (mean score: 16.05 ± 5.58). Those students who are attempting the test for a second time were more likely to be addicted (42.7% vs. 39.1%), but the difference was not statistically significant. Besides, the potential factors predicted for digital addiction were student status, satisfaction with previous mock tests, average monthly expenditure during the admission test preparation, and depression. No significant difference was found between digital addiction and districts. However, digital addiction was higher in the districts of Manikganj, Rajbari, Shariatpur, and Chittagong Hill Tract areas, including Rangamati, and Bandarban.

Conclusions: The study emphasizes the pressing need for collaborative efforts involving educational policymakers, institutions, and parents to address the growing digital addiction among university-bound students. The recommendations focus on promoting alternative activities, enhancing digital literacy, and imposing restrictions on digital device use, which are crucial steps toward fostering a healthier digital environment and balanced relationship with technology for students.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC11044373PMC
http://dx.doi.org/10.1186/s12888-024-05737-9DOI Listing

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