Enhancing University Students’ Mental Health under Artificial Intelligence: Principles of Behaviour Therapy

Abstract

The increasing prevalence of mental health issues among university students has become a growing concern globally. This review explores the potential of Artificial Intelligence (AI) integrated with principles of behaviour therapy to address mental health challenges among university students. The paper examines how AI technologies, including chatbots, virtual reality, and machine learning algorithms, can be harnessed to provide accessible, personalized, and effective mental health interventions. Furthermore, it discusses applying behaviour therapy principles within AI-driven mental health interventions, focusing on techniques such as cognitive restructuring, exposure therapy, and reinforcement strategies. The review highlights the promising outcomes and challenges of integrating AI and behaviour therapy principles in university mental health services, emphasizing the need for ethical considerations, privacy protection, and cultural sensitivity. By synthesizing current research findings and theoretical frameworks, this paper provides insights into the potential of AI-driven behaviour therapy interventions to enhance university students’ mental health and well-being.