Research in Chinese Education

This book provides a comprehensive overview of the development of smart education in China. It defines smart education as a higher level of digital education that can be divided into four stages, including resource sharing, data-driven, integration with AI, and ecology reshaping. It proposes five practical paths for the development of smart education in China, such as cultivating innovation literacy as its goal and data empowerment as its core, and it develops an evaluation framework consisting of four dimensions, including extensive connectivity, innovative application, mechanism guarantee, and literacy improvement. Finally, it also identifies five trends in the global development of digital education.

This book serves as a valuable resource for teachers, education administrators, education researchers, and other readers who are interested in educational innovation and development in China.

This book provides a forward-looking and comprehensive examination of AI’s transformative impact on higher education. It explores the integration of AI in teaching, learning, and assessment with fresh insights into generative AI, artificial general intelligence (AGI), and their emerging roles in reshaping universities globally. Supported by case studies from 30 leading universities and empirical data from international surveys and interviews, the book stands apart by combining AI development trends with practical applications and ethical considerations.

This book includes detailed discussions on AI's ethical challenges, including privacy, academic integrity, and the widening digital divide, all paired with real-world examples. A unique feature of the book is its in-depth exploration of AI talent development, outlining national strategies and institutional approaches that equip students with both AI literacy and advanced skills, establishing a new standard for cultivating future leaders in the AI era.

With strategic policy recommendations, this book provides a roadmap for higher education institutions to navigate the rapidly evolving AI landscape. It highlights actionable frameworks for ensuring equitable access to technology, strengthening data security, and addressing biases in AI systems. Academics, policymakers, and education leaders will benefit from its forward-thinking approach to integrating AI while maintaining humanistic and ethical values in education. Designed for professionals in education and education policy, this book also serves as an essential guide for other readers looking to harness the power of AI in shaping the future of learning and teaching.