ROLE OF AI-BASED MINDFULNESS APPLICATIONS IN ENHANCING ACADEMIC PERFORMANCE AND REDUCING STRESS AMONG STUDENTS: A MULTIDIMENSIONAL RESEARCH PERSPECTIVE

Abstract

The increasing overlap between artificial intelligence (AI) and mental health has resulted in the development of AI-based mindfulness apps as new technologies to aid students in their mental health and academic performance. Stress, pressures, and psychological issues in the situation of growing academic rivalry, technological overload, and stress after the pandemic have never been this great before, and it has the potential to impact the effectiveness of learning, focus, and academic performance. The article discusses the application of the AI-based mindfulness applications to academic achievement and stressing relief in the students through the multidimensional research approach including psychological, technological, educational, and ethical aspects of it. It assesses the available literature, AI integration mechanisms, theoretical frameworks, as well as empirical evidence besides determining challenges and future research directions. The results indicated that AI-supported mindfulness apps have the potential to significantly enhance the emotional control, cognitive performance, and motivational learning of students provided they are applied ethically and pedagogically as part of increased education. The Friedman test revealed a statistically significant difference among the factors (χ² = 18.276, p = 0.03), indicating that the applications differ in their perceived effectiveness in enhancing academic performance and reducing stress among students. Adaptive Algorithms and Personalization received the highest mean rank (4.06), suggesting it is viewed as the most influential factor