Heliyon (Apr 2024)
Internet addiction of university students in the Covid-19 process
Abstract
This study delves into the intricate dynamics of internet addiction among university students, leveraging a comprehensive quantitative approach to unravel the myriad factors influencing this modern-day malaise. Utilizing logistic regression analysis, this research delineates the predictive significance of Daily Internet Usage Time (DIUT) and Communicative Internet Use Frequency (CIUF) on the propensity for internet addiction, with the analysis substantiating these variables as potent predictors. The model elucidates a significant variance in internet addiction, affirming the complexity of internet addiction as influenced by a constellation of behavioral patterns.Amidst the backdrop of the COVID-19 pandemic's exacerbation of digital dependency, this investigation sheds light on the escalation of internet use to addictive levels, prompted by prolonged isolation and the pivot to online learning platforms. This study underscores the resultant educational and psychological ramifications, highlighting a surge in addiction and its associated detriments such as diminished academic performance, social isolation, and a deterioration in mental health.Comparison of these findings with existing literature reveals a nuanced understanding of internet addiction, characterised by the interaction between individual behaviours and broader socio-economic and psychological contexts, such as the duration of daily internet use and the frequency of communicative internet use. This synthesis argues for a holistic strategy to address internet addiction, emphasizing the need for educational interventions, improving digital literacy and promoting healthy digital habits.By pinpointing the multifaceted nature of internet addiction and its predictors within the university student demographic, this research contributes to the ongoing discourse on digital dependency, proposing a multidisciplinary approach to develop resilient academic environments and support systems. It underscores the urgent need for targeted research to identify predictive factors of internet addiction, thereby enabling the formulation of effective strategies and policies for mitigating its impact on students' academic and psychological well-being. This study not only captures the complexity of internet addiction but also provides critical insights crucial for developing informed educational strategies and interventions in the digital age.
