@misc{10481/108942,
year = {2025},
month = {12},
url = {https://hdl.handle.net/10481/108942},
abstract = {Social media is an essential part of people’s lives worldwide. This study aimed to analyze
the predictive capacity of social media addiction on academic engagement among students
enrolled in the Faculty of Health Sciences at the National University of Chimborazo during
the first academic period of 2023. The Social Media Addiction Questionnaire (ARS) and the
Utrecht Work Engagement Scale (UWES-S-17) were applied to 1200 participants during an
analytical study. According to the simple linear regression model, 11.2% of the variance
in academic engagement levels was explained by social media addiction, with statistical
significance (p < 0.05). The multiple linear regression model was significant, although it
showed a low capacity to explain and predict the level of academic engagement, considering
the dimensions of the level of addiction to social media (obsession, lack of control, and
excessive use). The ROC curve parameters showed statistical significance, showing a
moderate ability to discriminate insufficient academic commitment. The results serve as a
basis for future studies and as a diagnostic basis for establishing policies and strategies in
the institution where the research was conducted to increase academic engagement and
reduce social media addiction.},
publisher = {MDPI},
keywords = {Academic engagement},
keywords = {Social network addiction},
keywords = {Higher education},
title = {Predictive Capacity of Social Media Addiction on Academic Engagement in University Students},
doi = {10.3390/educsci15121677},
author = {Roque Herrera, Yosbanys and Alonso García, Santiago and Tenelanda López, Dennys Vladimir and López Núñez, Juan Antonio},
}