AI and the Transformation of Academic Work in Higher Education

Higher education is experiencing one of its most significant periods of change as artificial intelligence becomes increasingly woven into teaching, research, assessment, and university operations. What was once viewed as an emerging technology is now influencing how faculty teach, how students learn, how research is conducted, and how institutions make strategic decisions. While AI offers exciting opportunities to personalize learning, strengthen research, and improve institutional effectiveness, it also raises important questions about academic integrity, professional identity, ethical responsibility, data privacy, and equitable access. As universities continue to adapt to this evolving landscape, finding the right balance between technological innovation and the human values that define higher education has become more important than ever. AI and the Transformation of Academic Work in Higher Education explores how artificial intelligence is reshaping academic work across higher education through a comprehensive collection of interdisciplinary research, conceptual perspectives, empirical studies, and policy analyses. Rather than viewing AI simply as a technological innovation, this book considers its broader impact on the future of the academic profession and the evolving role of educators and institutions. Covering topics such as the dialectics of digital transformation, faculty organizational commitment, and scholar-supervisor collaboration, this book is an indispensable academic resource for graduate and doctoral students, Instructional designers, educational technologists, doctoral supervisors, graduate program directors, university presidents, provosts, deans, department chairs, accreditation bodies, policymakers, and more.

Pagina's: 452, Hardcover, IGI Global