Significant progress has been made in artificial intelligence (AI) in recent years, with AI applications now being used across various fields, including education, healthcare, economics, and scientific research. In this context, AI offers valuable contributions to education and public administration, such as personalized learning experiences, improved teaching strategies, data analysis, and strategic recommendations. Consequently, examining the adoption and diffusion of AI in these areas has become a critical focus. AI Adoption and Diffusion in Education explores the adoption and diffusion of AI in education and public administration. It examines the opportunities, challenges, and ethical considerations of AI adoption, offering insights into its practical implementation and future impact. Covering topics such as accessibility technologies, data mining, and unemployment, this book is an excellent resource for researchers, managers, governmental employees, educators, administrators, and more.
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