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The book explores how universities can harness the power of artificial intelligence (AI) while safeguarding privacy, equity, and academic values. Focusing on China's rapidly evolving higher education sector, this book examines the opportunities that AI presents, including personalized learning, timely feedback, accelerated research, and improved administrative efficiency. It also addresses key challenges, such as data exposure, algorithmic bias and opaque automation. Drawing on established frameworks such as DigCompEdu, TRI, and UTAUT, the book offers practical, step-by-step strategies. These strategies help build essential competencies in pedagogy, ethics, and cybersecurity. The book offers a clear, non-technical toolkit to help educators and undergraduates assess their AI and information security competence. The case studies range from adaptive learning in large courses to a blockchain-based identity management prototype. Additionally, the book includes policy analyses of China's national and institutional governance models, providing actionable insights for responsible AI use. This book will appeal to librarians, booksellers, faculty developers, and administrators seeking practical, future-ready approaches for AI-enabled, security-conscious universities.
Xiaoshu Xu is a professor at Wenzhou University and a PhD supervisor at Macao Polytechnic University and Stamford International University, Thailand. Research interests include ICT in education and EFL teaching and learning.
1 Understanding AI and Information Security Competence 2 Opportunities and Challenges of AI in Education 3 Theoretical Foundations of the Research 4 Evaluation of Teachers and Undergraduates' AI Competence 5 Teachers and Undergraduates' Acceptance of AI, Data Privacy, and Ethical Considerations 6 Policy and Strategic Responses to AI and Information Security in Education 7 Research Conclusions, Implications, and Future Directions
