Digital Distraction Prevention Algorithm for Identifying Student Academic Performance

Digital methods Adolescents are prone to dependency, which calls for education and treatment. Adolescents who are addicted to digital technology spend more time online chatting, browsing the web, playing games, and visiting fascinating websites. Because of this, they are less motivated and have less time to complete their tasks and learn their lessons, which may be one of the reasons why these pupils struggle academically. Therefore, this study sought to examine the prevalence of digital technology dependence among adolescents. The present study also seeks to understand better the relationship between social connectedness and academic performance with digital technology dependence in both quantitative and qualitative ways.

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Published
2025-06-27
DOI
https://doi.org/10.1109/apci65531.2025.11137064
Primary Topic
Online Learning and Analytics
Type
article
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article

Digital Distraction Prevention Algorithm for Identifying Student Academic Performance

A. Jayanthiladevi, S Kamala
Online Learning and Analytics
article

Digital Distraction Prevention Algorithm for Identifying Student Academic Performance

A. Jayanthiladevi, S Kamala
article en

Abstract

Digital methods Adolescents are prone to dependency, which calls for education and treatment. Adolescents who are addicted to digital technology spend more time online chatting, browsing the web, playing games, and visiting fascinating websites. Because of this, they are less motivated and have less time to complete their tasks and learn their lessons, which may be one of the reasons why these pupils struggle academically. Therefore, this study sought to examine the prevalence of digital technology dependence among adolescents. The present study also seeks to understand better the relationship between social connectedness and academic performance with digital technology dependence in both quantitative and qualitative ways.

Marwadi University (IN)
Openalex Percentile: Top 73%
Online Learning and Analytics
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