Application of Artificial Intelligence and Big Data Analytics in the Detection and Intervention of Internet Addiction

دسته بندی موضوعی : برنامه ریزی درسی و آموزشی

زبان : انگلیسی

نوع فایل : PDF

تعداد صفحات : 14

وضعیت : این مقاله توسط هیات داوران پایگاه ایران ژورنال داوری شده است
فصل نامه علمی تخصصی پژوهش برتر - سال اول شماره چهارم - زمستان 1404

نویسندگان :
hesam hasanpoor Head of the PhD Program in Computer Science, Islamic Azad University, Sabzevar
Raheleh rezazadeh PhD Student in Artificial Intelligence (Computer Science), Islamic Azad University, Sabzevar
Hamidreza mirshekari PhD Student in Information Technology, Islamic Azad University, Sabzevar

ثبت شده توسط : ایران ژورنال

لینک مستقیم مقاله : https://iran-journals.com/doc/1163

چکیده فارسی :

The rapid expansion of the internet and digital technologies, while providing extensive opportunities in education, communication, and access to information, has simultaneously led to the emergence of a new phenomenon known as digital or internet addiction. This issue has become particularly prominent among adolescents and young adults, bringing with it significant psychological, social, and academic consequences. Traditional approaches to the diagnosis and intervention of digital addiction have largely relied on self-report questionnaires and cross-sectional clinical assessments. Due to their subjective nature, limited capacity for continuous monitoring, and inability to accurately predict high-risk behaviors, these methods demonstrate restricted effectiveness. The present study adopts an analytical–review approach to examine the application of artificial intelligence and big data analytics in the detection, monitoring, and intervention of digital addiction. The findings of the reviewed studies indicate that the use of machine learning and deep learning algorithms, alongside real-time analysis of users’ behavioral data, enables the early identification of addictive patterns, prediction of the trajectory of digital dependence, and design of personalized interventions. Moreover, tools such as therapeutic chatbots, intelligent applications, and remote monitoring systems play a significant role in providing continuous care, improving access to treatment services, and reducing inequalities in mental health care. Despite these considerable potentials, challenges related to data privacy, algorithmic bias, and ethical considerations highlight the necessity of developing appropriate legal frameworks and responsible policy-making in the field of digital health.

کلمات کلیدی فارسی :
Artificial Intelligence, Internet Addiction, Big Data, Mental Health, Personalized Interventions