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.
Author(s): Shengquan Yu, Yu Lu
Series: Bridging Human and Machine: Future Education with Intelligence
Publisher: Springer
Year: 2021
Language: English
Pages: 204
City: Singapore
Preface
Contents
1 Introduction
1.1 Cognition and Learning in the Age of AI
1.2 A Brief History of AI in Education
1.3 Typical Areas of AI in Education
References
2 An Overview of AI
2.1 Basic Approaches in AI
2.2 Major AI Technologies
2.3 Typical Open-Source AI Projects and Cloud Services
References
3 Intelligent Learning Environments
3.1 Smart Campus
3.2 Campus Safety Detection and Early Alarming
3.3 Smart Classrooms
3.4 Smart Library
3.5 Intelligent Writing System
References
4 Intelligent Learning Processes
4.1 Introduction
4.1.1 Intelligent Mapping and Visualizing of Knowledge and Competency
4.1.2 Intelligent Diagnoses and Recommendations
4.1.3 Monitoring Learning Load
4.1.4 Virtual Environment for Inquiry-Based Learning
4.1.5 Intelligent Domain-Specific Tools
4.1.6 Intelligently Assisted Learning Based on Brain Science
4.1.7 Intelligent Robotics and Toys
4.1.8 Intelligent Assistant in Special Education
References
5 Intelligent Teacher Assistant
5.1 Intelligent Tutoring
5.2 Intelligent Question Answering
5.3 Intelligent Test Generation and Evaluation
5.4 Generation of Report for Education
5.5 Personalized Assignment and Dialogue System
5.6 Automated Assessment of Speaking
References
6 Intelligent Educational Evaluation
6.1 The Diagnosis and Evaluation of Problem-Solving Skills
6.2 Mental Health Monitoring, Early Warning, and Intervention
6.3 Physical Health Monitoring and Improvement
6.4 Smart Class Evaluation
References
7 Intelligent Educational Management and Service
7.1 AI to Promote Education Equity
7.2 Big Data to Support Intelligent Decision-Making in Education
7.3 Intelligent Technologies to Improve the Quality of Regional Teaching
7.4 Dynamic Monitoring of Education Quality
7.5 Customized Education Services
7.6 Intelligent Medical Assistants at School
References
8 Frontiers of AI in Education
8.1 Educational Knowledge Graph
8.2 Cognitive Diagnosis
8.3 Student Modeling
8.4 Educational Question Representation
8.5 Machine Reading Comprehension and Scoring
8.6 Intelligent Tutoring System
8.7 Neuroscience and Education
8.8 Human–Machine Integration
References
9 Prospects and Reflections: Looking into the Future
9.1 Prospects of AI in Education
9.2 Reflections on AI in Education
9.3 Suggestions for Promoting AI in Education
References
