Policy, Pedagogy, and Professional Practice in the AI-Enabled University

The advancement of AI reshapes higher education, creating new opportunities and challenges for global universities. As AI technologies integrate with teaching, learning, research, and administrative functions, institutions adapt their policies, pedagogical approaches, and professional practices to ensure their effective and ethical use. This transformation requires educators, administrators, and policymakers to rethink traditional educational models while addressing issues like academic integrity, digital literacy, data privacy, and equitable access to technology. Examining policy, pedagogy, and professional practice in the AI-enabled university provides valuable insights into how higher education harnesses AI to enhance learning outcomes while maintaining academic standards and social responsibility. Policy, Pedagogy, and Professional Practice in the AI-Enabled University explores how AI transforms higher education through its impact on institutional policies, teaching methods, and professional roles. It examines the opportunities, challenges, and ethical considerations associated with integrating AI into university learning, research, administration, and governance. This book covers topics such as instructional design, professional development, and machine learning, and is a useful resource for educators, engineers, policymakers, academicians, researchers, and scientists.