Advanced International Journal for Research

E-ISSN: 3048-7641   •   Impact Factor: 9.11

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Artificial Intelligence Dependence and Well-Being Among College Students

Author(s) Jeyakumar Jenifer, Dr. A. Seethalakshmy
Country India
Abstract The present study examined the relationship between AI dependence and digital well-being among college students using a cross-sectional design. A sample of 100 students aged 17–25 was selected through purposive sampling, focusing on active users of AI tools such as ChatGPT, Gemini, Perplexity, and Meta AI. Data were collected using two standardized instruments: the Digital Well-Being Scale (Gomes et al., 2023) and the Dependence on Artificial Intelligence Scale (Morales-García et al., 2024). Descriptive statistics revealed moderate levels of AI dependence and generally high levels of digital well-being among the participants. Results further showed that 58% of students had high AI dependence, while 65% reported high digital well-being. A strong and highly significant negative correlation (r = –0.72, p < 0.01) was found between AI dependence and digital well-being, indicating that increased reliance on AI is associated with reduced digital wellness. Gender differences were also significant, with males reporting higher AI dependence and females showing better digital well-being. Overall, the study highlights the importance of mindful AI usage and the need for promoting healthy digital habits among students to maintain emotional balance and technological well-being.
Keywords AI dependence, digital well-being, college students, cross-sectional study, gender differences, artificial intelligence tools, psychological impact.
Published In Volume 6, Issue 6, November-December 2025
Published On 2025-12-15
DOI https://doi.org/10.63363/aijfr.2025.v06i06.3580
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