چکیده مقاله
This study investigates the impact of supportive artificial intelligence AI systems on mitigating psychological burnout among university students experiencing depressive symptoms, through a case study conducted at Ferdowsi University of Mashhad, Iran The research was carried out on a purposive sample of ۱۵۰ postgraduate students aged ۲۵–۳۰ years, including ۹۰ female ۶۰% and ۶۰ male ۴۰% participants, selected from various faculties such as engineering, humanities, social sciences, and natural sciences Given the increasing prevalence of psychological burnout and depression among university students, this study explores the potential of AI based interventions, including chatbots and personalized digital therapy applications, to enhance mental health outcomes Using a mixed methods research design, quantitative data were collected through standardized instruments, including the Maslach Burnout Inventory MBI and the Beck Depression Inventory BDI , while qualitative insights were obtained via semi structured interviews The findings indicate that supportive AI systems significantly reduce emotional exhaustion and depressive symptoms by enhancing students’ sense of belonging, a critical determinant of psychological resilience and mental health recovery Moreover, the results demonstrate that continuous, personalized, and accessible AI driven support improves students’ coping strategies, emotional regulation, and overall psychological well being This study contributes to the growing body of literature on digital mental health interventions by providing empirical evidence of AI’s effectiveness in alleviating psychological burnout among university students and offers practical implications for integrating intelligent support systems into academic mental health services
کلیدواژهها
نویسندگان
Mahboubeh Mohammadpour
M A Student in Clinical Psychology, Islamic Azad University, Kashmar Branch, Torbat e Heydarieh, Iran
Kourosh Ekrami
Assistant Professor and Clinical Psychology Expert, Psychology Department, Imam Reza International University, Mashhad, Iran
رزومه علمی کاربران
درباره سیویلیکاتبلیغات در سیویلیکاآمار علمی ایرانتقویم علمی ایرانداده کاوی مقالاتطرح های پژوهشی
شیوه ارجاع
در صورتی که می خواهید در اثر پژوهشی خود به این مقاله ارجاع دهید، به سادگی می توانید از عبارت زیر در بخش منابع و مراجع استفاده نمایید: Mohammadpour، Mahboubeh و Ekrami، Kourosh،1404،The Impact of Supportive Artificial Intelligence Systems on Mitigating Psychological Burnout among Depressed Patients: A Case Study at Ferdowsi University of Mashhad،ششمین کنگره جهانی یافته های نوین در سلامت، علوم بهداشتی و علوم تربیتی،https://civilica.com/doc/2595020
ارائهشده در
مجموعه مقالات ششمین کنگره جهانی یافته های نوین در سلامت، علوم بهداشتی و علوم تربیتی5 اسفند 1404