This book explores the relationships between artificial intelligence (AI) and education in China. It examines educational activity in the context of profound technological interventions, far-reaching national policy, and multifaceted cultural settings. By standing at the intersection of three foundational topics – AI and the recent proliferation of data-driven technologies; education, the most foundational of our social institutions in terms of actively shaping societies and individuals; and, finally, China, which is a frequent subject for dramatic media reports about both technology and education – this book offers an insightful view of the contexts that underpin the use of AI in education, and promotes a more in-depth understanding of China. Scholars of educational technology and digital education will find this book an indispensable guide to the ways new technologies are imagined to transform the future, while being firmly grounded in the past.

This open access book provides a comprehensive overview of education in China, covering 12 critical topics including basic education, higher education, professional education, STEM (Science, Technology, Engineering, and Mathematics) education, mental health education, and international education and excellence initiatives. Drawing from current research, theoretical literature, and real-life stories, this book examines the developmental trajectories, achievements, and best practices in the above-mentioned topics, to reflect realities of education transformation in China. It also incorporates a global comparison of key indicators to explore strengths of and gaps in Chinese education with its global counterparts. Setting its context in an ever-changing world, this book intends to explore conceptual support to develop “a modern education system with Chinese features and world standards”, to provide implications for further developing quality education in all sectors, and to promote understanding and inspire critical discussion on education development in China and around the world. This book serves as a valuable resource for students, scholars, and policy makers in the field of education studies, as well as for the general public who are interested in Chinese education.

This book brings together papers presented at the 3rd International Conference on Artificial Intelligence in China (ChinaAI), which provides a venue to disseminate the latest developments and to discuss the interactions and links between these multidisciplinary fields. Spanning topics covering all topics in Artificial Intelligence with new development in China, this book is aimed at undergraduate and graduate students in Electrical Engineering, Computer Science and Mathematics, researchers and engineers from academia and industry as well as government employees (such as NSF, DOD, DOE, etc).

Artificial Intelligence (AI) has rapidly emerged as a revolutionary force across various sectors, with a profound influence permeating the domain of higher education. AI in higher education encompasses a wide range of applications designed to enhance teaching methodologies, streamline administrative processes, and personalize learning experiences. The transformative potential of AI lies in its ability to process vast amounts of data, identify patterns, and make intelligent decisions, which can significantly improve educational outcomes. AI-Driven Learning and Engagement in Higher Education provides a comprehensive exploration of these themes and offers insights into the theoretical foundations, practical applications, and ethical implications of AI in education. Each chapter delves into specific aspects of AI integration, from personalized learning and intelligent tutoring systems to administrative automation and ethical considerations. Covering topics such as applied artificial intelligence, online learning, and student success, this book is an excellent resource for educators, administrators, policymakers, researchers, academicians, and more.

This book includes a collection of expanded papers from the 2019 Sino-German Symposium on AI-supported educational technologies, which was held in Wuhan, China, March, 2019. The contributors are distinguished researchers from computer science and learning science. The contributions are organized in four sections: (1) Overviews and systematic perspectives , (2) Example Systems, (3) Algorithms, and (4) Insights gained from empirical studies. For example, different data mining and machine learning methods to quantify different profiles of a learner in different learning situations (including interaction patterns, cognitive modes, knowledge skills, interests and emotions etc.) as well as connections to measurements in psychology and learning sciences are discussed in the chapters.

This volume seeks to leverage academic interdisciplinarity to develop insight into how Artificial intelligence (AI), the latest GPT to emerge, may influence or radically change socio-political norms, practices, and institutions. AI may best be understood as a predictive technology. “Prediction is the process of filling in missing information. Prediction takes information you have, often called ‘data’, and uses it to generate information you don’t have” (Agrawal, Gans, and Goldfarb 2018, 13; also see Mayer-Schonberger and Ramge 2018). AI makes prediction cheap because the cost of information is now close to zero. Cheap prediction through AI technologies are radically altering how we govern ourselves, interact with each other, and sustain society. Contributors to this volume represent the academic disciplines of Sociology and Political Science working within a diverse set of intra-disciplinary fields that when combined, yield novel insights into the following questions guiding this volume: How might AI transform people? How might AI transform socio-political practices? How might AI transform socio-political institutions?

This book is a collection of selected research papers presented at the 2023 4th International Conference on Artificial Intelligence in Education Technology (AIET 2023), held in Berlin, Germany, on June 30 - July 2, 2023. AIET establishes a platform for AI in education researchers to present research, exchange innovative ideas, propose new models, as well as demonstrate advanced methodologies and novel systems. It is a timely and up-to-date publication responsive to the rapid development of AI technologies, practices and their increasingly complex interplay with the education domain. It promotes the cross-fertilisation of knowledge and ideas from researchers in various fields to construct the interdisciplinary research area of AI in Education. These subject areas include computer science, cognitive science, education, learning sciences, educational technology, psychology, philosophy, sociology, anthropology and linguistics. The feature of this book will contribute from diverse perspectives to form a dynamic picture of AI in Education. It also includes various domain-specific areas for which AI and other education technology systems have been designed or used in an attempt to address challenges and transform educational practice. This timely publication is in line with UNESCO’s Beijing Consensus on Artificial Intelligence and Education. It is committed to exploring how AI may play a role in bringing more innovative practices, transforming education, and triggering an exponential leap towards the achievement of the Education 2030 Agenda. Providing broad coverage of recent technology-driven advances and addressing a number of learning-centric themes, the book is an informative and useful resource for researchers, practitioners, education leaders and policy-makers who are involved or interested in AI and education.

The three-volume set LNCS 10918, 10919, and 10290 constitutes the proceedings of the 7th International Conference on Design, User Experience, and Usability, DUXU 2018, held as part of the 20th International Conference on Human-Computer Interaction, HCII 2018, in Las Vegas, NV, USA in July 2018. The total of 1171 papers presented at the HCII 2018 conferences were carefully reviewed and selected from 4346 submissions. The papers cover the entire field of human-computer interaction, addressing major advances in knowledge and effective use of computers in a variety of applications areas. The total of 165 contributions included in the DUXU proceedings were carefully reviewed and selected for inclusion in this three-volume set. The 50 papers included in this volume are organized in topical sections on design, education and creativity, GUI, visualization and image design, multimodal DUXU, and mobile DUXU.

This is an open access book. As a leading role in the global megatrend of scientific innovation, China has been creating a more and more open environment for scientific innovation, increasing the depth and breadth of academic cooperation, and building a community of innovation that benefits all. Such endeavors are making new contributions to the globalization and creating a community of shared future. To adapt to this changing world and China's fast development in the new era, 2023 2nd International Conference on Educational Innovation and Multimedia Technology to be held in March 2023. This conference takes "bringing together global wisdom in scientific innovation to promote high-quality development" as the theme and focuses on cutting-edge research fields including Educational Innovation and Multimedia Technology. EIMT 2023 encourages the exchange of information at the forefront of research in different fields, connects the most advanced academic resources in China and the world, transforms research results into industrial solutions, and brings together talent, technology and capital to drive development. The conference sincerely invites experts, scholars, business people and other relevant personnel from universities, scientific research institutions at home and abroad to attend and exchange!