Bridging Human and Machine: Future Education with Intelligence – serie

This book explores the technologies that can be used in curricula to make education “smarter” and more adaptive in order to better meet the needs of today’s learners. The main emphasis is based on the theory and best practices of incorporating emerging technologies into curricula so as to educate learners in the 21st century. The book provides valuable insights into the future of education and examines which pedagogies are most suitable for integrating emerging technologies. It will help educators and stakeholders design and implement curricula that effectively prepare learners for the challenges of tomorrow.

This book explores the technologies that can be used in curricula to make education “smarter” and more adaptive in order to better meet the needs of today’s learners. The main emphasis is based on the theory and best practices of incorporating emerging technologies into curricula so as to educate learners in the 21st century. The book provides valuable insights into the future of education and examines which pedagogies are most suitable for integrating emerging technologies. It will help educators and stakeholders design and implement curricula that effectively prepare learners for the challenges of tomorrow.

This book systematically reviews a broad range of cases in education that utilize cutting-edge AI technologies. Furthermore, it introduces readers to the latest findings on the scope of AI in education, so as to inspire researchers from non-technological fields (e.g. education, psychology and neuroscience) to solve education problems using the latest AI techniques. It also showcases a number of established AI systems and products that have been employed for education. Lastly, the book discusses how AI can offer an enabling technology for critical aspects of education, typically including the learner, content, strategy, tools and environment, and what breakthroughs and advances the future holds.The book provides an essential resource for researchers, students and industrial practitioners interested and engaged in the fields of AI and education. It also offers a convenient handbook for non-professional readers who need a primer on AI in education, and who want to gain a deeper understanding of emerging trends in this domain.

This book systematically reviews a broad range of cases in education that utilize cutting-edge AI technologies. Furthermore, it introduces readers to the latest findings on the scope of AI in education, so as to inspire researchers from non-technological fields (e.g. education, psychology and neuroscience) to solve education problems using the latest AI techniques. It also showcases a number of established AI systems and products that have been employed for education. Lastly, the book discusses how AI can offer an enabling technology for critical aspects of education, typically including the learner, content, strategy, tools and environment, and what breakthroughs and advances the future holds.The book provides an essential resource for researchers, students and industrial practitioners interested and engaged in the fields of AI and education. It also offers a convenient handbook for non-professional readers who need a primer on AI in education, and who want to gain a deeper understanding of emerging trends in this domain.

This book contains the research of Innovative Education Informatization conducted by researchers from School of Educational Technology, Beijing Normal University since early 1990s. There are three main parts of the book. The first part is about six pillars supporting the theory of Innovative Education Informatization with Chinese Characteristics. Six theories are: 1) Theory of Creative Thinking, 2) New Constructivism, 3) Theory of In-depth Integration of Information Technology and Subjects Teaching, 4) New Theory of Teaching Design, 5) Theory of Children’s Thinking Development, and 6) Language Sense Theory. The second part pays attention to advocating maker education system with Chinese characteristics. The third part focuses on Chinese-style flipped classroom. The book will have profound impact on education informatization.

This book contains the research of Innovative Education Informatization conducted by researchers from School of Educational Technology, Beijing Normal University since early 1990s. There are three main parts of the book. The first part is about six pillars supporting the theory of Innovative Education Informatization with Chinese Characteristics. Six theories are: 1) Theory of Creative Thinking, 2) New Constructivism, 3) Theory of In-depth Integration of Information Technology and Subjects Teaching, 4) New Theory of Teaching Design, 5) Theory of Children’s Thinking Development, and 6) Language Sense Theory. The second part pays attention to advocating maker education system with Chinese characteristics. The third part focuses on Chinese-style flipped classroom. The book will have profound impact on education informatization.

This book explains the interaction between artificial intelligence and higher education. It explores artificial intelligence’s tangible and intangible impact on higher education and scientific research and discusses how higher education and scientific research enhance the progress of artificial intelligence technologies. Based on systematic analysis with a multidisciplinary approach and a combination of theory and practice, the book brings original perspectives from the massive use of artificial intelligence in higher education and scientific research since the appearance of COVID-19. This book also discusses ethics in artificial intelligence, taking into consideration the recommendation on ethics of artificial intelligence adopted by UNESCO. This book explains the importance of technological sovereignty and new strategies to face current and future challenges related to e-learning, deep learning, and machine learning.

This book explains the interaction between artificial intelligence and higher education. It explores artificial intelligence’s tangible and intangible impact on higher education and scientific research and discusses how higher education and scientific research enhance the progress of artificial intelligence technologies. Based on systematic analysis with a multidisciplinary approach and a combination of theory and practice, the book brings original perspectives from the massive use of artificial intelligence in higher education and scientific research since the appearance of COVID-19. This book also discusses ethics in artificial intelligence, taking into consideration the recommendation on ethics of artificial intelligence adopted by UNESCO. This book explains the importance of technological sovereignty and new strategies to face current and future challenges related to e-learning, deep learning, and machine learning.