A Study in the Context of Teachers’ Stress Management Activities: An Intervention in the Education Sector Dr. Rahul Manjare Assistant Professor, BV (DU) Pune, Abhijit Kadam Institute of Management and Social Sciences, Solapur Minal Pawar Research Scholar, BV (DU) Pune, Abhijit Kadam Institute of Management and Social Sciences, Solapur Abstract Occupational stress has become a pervasive issue across all sectors in India, with the education sector being no exception. Teachers and faculty members experience significant stress due to multiple factors such as long working hours, overcrowded classrooms, student behavior challenges, administrative pressures, and the increasing demand to adapt to technological changes. Occupational stress arises from the mismatch between job demands and an individual’s capacity to cope, resulting in psychological and physical strain. The teaching profession often considered intellectually demanding and emotionally intensive, further amplifies this stress. In this context, Artificial Intelligence (AI) has emerged as a promising tool for managing occupational stress among educators. AI-based solutions such as automated administrative support, personalized teaching assistance, and stress monitoring systems can help reduce workload and improve efficiency. The adoption of AI also presents challenges, including technological dependency, privacy concerns, and skill gaps. This study examines both the opportunities and limitations of AI in managing teachers’ occupational stress. Keywords: Artificial Intelligence, Teachers’ occupational stress, management, challenges, positive-negative impacts
Manjare et al. (Sun,) studied this question.