Transformative Role of Artificial Intelligence (AI) in Higher Education in United Arabs Emirates: Exploring the Universities’ Faculty Members’ Perspectives and the Institutional Leaders

Abstract

This study explores the transformative role of AI in higher education institutions in the United Arab Emirates. Using a mixed-methods approach of sequential interpretive methods, this research examines faculty acceptance and adoption of AI, factors influencing its integration, and impact on teaching, learning, and quality assurance processes. The research is guided by the Unified Theory of Acceptance and Use of Technology (UTAUT) framework, which has been expanded to include ethical issues, innovative work environments, and individual innovation. Quantitative data was collected through surveys with sixty faculty members, while qualitative insights were gained through interviews with senior institutional leaders. The results reveal that performance expectations, effort expectations, social influence, and facilitating conditions significantly influence AI adoption. However, ethical concerns and technical infrastructure limitations pose challenges. Additionally, leadership support, strategic policies, and tailored training programs are critical to effective AI integration. This study provides actionable recommendations for institutional leaders to formulate AI-driven strategies that enhance educational outcomes, encourage ethical practices, and align with the UAE’s National AI Strategy 2031. It also contributes to academic literature by presenting an expanded UTAUT framework to better understand AI adoption in higher education contexts.