Introduction
Blue Book of AI in Education, the first blue book centering on AI in education in China, is edited by the research team of Advanced Innovation Center for Future Education of Beijing Normal University. We invited experts from fields of computer science, education, psychology, cognitive neuroscience and so on to form an editorial board and expert committee. After a whole year’s joint efforts and several rounds of revision, this book finally comes into being. It has been officially published in September 2020. On behalf of the editorial board, we are grateful to all the schools, organizations, and companies who made this book possible.
Preface
How to transform education with artificial intelligence (AI) has been one of the focal research directions and key work of Advanced Innovation Center for Future Education of Beijing Normal University in China. The book is produced from our ongoing work in this area. The purposes of this book are to review existing solutions of AI in education and to build bridges in schools, industries, and research institutions so as to jointly explore the possibility of transforming education with AI.
Generally speaking, there are three core components in applying AI in education, including computational power, intelligent algorithms, and real-world scenarios. Among them, knowledge of real-world application scenarios is critical to the success of AI in education. Therefore, this book aims to understand AI in education in terms of application scenarios and pressing issues in educational practices.
Focal themes of AI in education should not be confined only to the intelligent supports to students’ learning, as well as to the test and assessment of students’ performance. The other aspects of equal importance include the support to students’ healthy growth and overall development, the support to improve teachers’ work efficiency and the support to education administrators. Reforms in education can only occur when AI is seamlessly integrated into the vital services of education.
In order to make AI in education more accessible to practitioners, this book involves a large number of real-life cases. In the early phase of this work, we gathered a collection of cases from schools, research institutions, and enterprises so as to understand the practices being carried out by different sectors of the community in China. Cases involved in the book represent the specific scenarios and directions of solving educational problems with AI.
Contents
Chapter 1 Introduction
Chapter 2 An Overview of AI
Chapter 3 Intelligent Learning Environments
Chapter 4 Intelligent Learning Processes
Chapter 5 Intelligent Educational Evaluation
Chapter 6 Intelligent Teacher Assistant
Chapter 7 Intelligent Educational Management and Service
Chapter 8 Frontiers of AI in Education
Chapter 9 Talents training for AI
Chapter 10 Prospects and Reflections
