Abstract:
The next step in agriculture is precision agriculture, which relies on digital technologies and
big data. For effective outcomes, users and operators mustn't be affected by digital
addiction. In Sri Lanka, after the COVID pandemic, students have become more reliant on
digital platforms, increasing their exposure to digital devices and the risk of digital addiction
and phubbing behavior. In the Sri Lankan context, especially among agriculture
undergraduates, no prior study has explored how these behaviors affect the effective use
of smart technologies, AI, and big data in the agricultural sector. Moreover, their potential
link to reduced social well-being remains unexamined. This study aims to address this gap
by investigating the interrelationships among digital addiction, phubbing, and social well
being. Therefore, this study was conducted as a case study at Rajarata University of Sri
Lanka to assess the current situation among undergraduate students in agriculture. A cross
sectional survey was conducted in 2024 with 266 undergraduates (75% females and 25%
males) aged around 24 years. Data were randomly collected on demographics, digital
device usage, social networking (SN), social support (SS), self-control (SC), fear of missing
out (FOMO), digital addiction (DA), phubbing behavior (PB), and social well-being (SWB).
Structural equation modelling was performed using AMOS and SPSS 26. On average,
undergraduates used two digital devices and 21 software applications for 12 hours daily.
FOMO (p<0.001), SC (p=0.003), and English literacy (EL) (p=0.013) were major factors linked
to DA. DA (p<0.001) and SC (p=0.003) were connected to PB. SWB was significantly
influenced by DA (p=0.001), FOMO (p<0.001), SS (p=0.002), and EL (p=0.021). The model
explained 44% of DA, 84% of PB, and 34% of SWB.DA directly affects SWB, while PB has no
significant impact. To address exhibit concerns, educational institutions can implement
awareness programs, train academic staff on digital well-being practices, and promote the
use of app usage limiters and data limiters to manage usage and time consumption, and
enhance student support systems, including English language and communication skills.
Introducing "digital detox" initiatives can also foster healthier digital habits. Further
research with larger, more diverse samples is needed to develop broadly applicable
strategies for balanced digital use in higher education.