Evaluating Ai-Based Educational Tools and Their Impact on Academic Stress and Wellness Among Management Students in Mumbai

Abstract

Artificial Intelligence (AI) has transformed the landscape of higher education, offering advanced learning tools, personalised instruction, real-time feedback, and data-driven academic support. Among management students, AI-based educational tools such as adaptive learning platforms, automated assessment systems, AI chatbots, digital research assistants, and predictive analytics have become widespread. While these innovations enhance learning efficiency and academic productivity, they also introduce new forms of stress, dependency, and psychological strain. This research paper evaluates the impact of AI-based educational tools on academic stress and wellness among management students in Mumbai, drawing exclusively from secondary literature, theoretical models, and global empirical findings.The study highlights that although AI tools reduce workload in certain areas, they simultaneously elevate academic pressure through increased digital expectations, continuous availability, and heightened performance benchmarks. Excessive AI usage also creates technostress, cognitive overload, and fear of technological incompetence. However, responsible integration of AI tools supported by proper faculty training, institutional guidelines, and digital wellness initiatives can improve student well-being. This research concludes that AI tools can either enhance or hinder mental wellness depending on usage patterns, institutional design, and student digital literacy. The paper provides recommendations for educators and policymakers to develop sustainable AI-enabled learning ecosystems that protect student mental health.