Impact of Artificial Intelligence Adoption on Job Satisfaction Among Women Faculty in Higher Educational Institutions

Abstract

The rapid integration of Artificial Intelligence (AI) in higher education has significantly transformed teaching, administrative processes, and academic management practices. AI-enabled technologies such as automated assessment systems, virtual learning platforms, intelligent tutoring systems, and data-driven decision-making tools are increasingly being adopted by educational institutions to improve efficiency and productivity. In this context, the present study examines the impact of Artificial Intelligence adoption on job satisfaction among women faculty members working in higher educational institutions. The study aims to explore how AI-based technologies influence various dimensions of job satisfaction, including workload management, teaching effectiveness, professional development, work-life balance, organizational support, and career advancement opportunities. It also investigates the challenges faced by women academicians in adapting to AI-driven educational environments, such as technostress, lack of digital training, and concerns regarding job security. The research adopts a descriptive and analytical approach using primary and secondary data sources. Data may be collected through structured questionnaires from women faculty members employed in private and public higher educational institutions. Statistical tools such as correlation, regression analysis, and factor analysis can be used to examine the relationship between AI adoption and job satisfaction levels. The findings of the study are expected to provide valuable insights into the role of AI in enhancing the professional experiences of women educators. The study may also help educational institutions and policymakers formulate strategic initiatives for effective AI implementation, faculty training, and supportive work environments that promote employee satisfaction and institutional growth. Furthermore, the research contributes to the emerging literature on Artificial Intelligence, strategic management, and gender-focused workplace studies in higher education.