This book reimagines education in today’s Artificial Intelligence (AI) world and the Fourth Industrial Revolution. Artificial intelligence will drastically affect every industry and sector, and education is no exception. This book aims at how AI may impact the teaching and learning process in education. This book is designed to demystify AI for teachers and learners. This book will help improve education and support institutions in the phenomena of the emergence of AI in teaching and learning. This book presents a comprehensive study of how AI improves teaching and learning, from AI-based learning platforms to AI-assisted proctored examinations. This book provides educators, learners, and administrators on how AI makes sense in their everyday practice. Describing the application of AI in ten key aspects, this comprehensive volume prepares educational leaders, designers, researchers, and policymakers to effectively rethink the teaching and learning process and environments that students need to thrive. The readers of this book never fall behind the fast pace and promising innovations of today’s most advanced learning technology.
Author(s): Muralidhar Kurni, Mujeeb Shaik Mohammed, Srinivasa K. G.
Publisher: Springer
Year: 2023
Language: English
Pages: 235
City: Cham
Preface
Acknowledgments
Contents
Chapter 1: Introduction
1.1 What Is Artificial Intelligence?
1.2 A Brief Introduction to AI Techniques
1.3 A Brief Introduction to AI Technologies
1.4 Roles for AI In Education
1.5 Applications of AI
1.6 Is AI Needed in Higher Education?
1.7 AI in Higher Education
1.8 How Can AI Be Used to Enhance Education?
1.9 Artificial Intelligence in Higher Education
1.10 Companies Bringing AI to Use in Education
1.11 Benefits of AI for Students
1.12 Conclusion
References
Chapter 2: Intelligent Tutoring Systems
2.1 What Is Meant by an Intelligent Tutoring System?
2.2 Need for an Intelligent Tutoring System
2.3 How Are Intelligence Tutoring Systems Influencing Education?
2.4 Benefits of Intelligent Tutoring Systems
2.5 Examples of Intelligent Tutoring Systems
2.6 Intelligent Tutoring Systems and Online Learning
2.7 Development of an Intelligent Tutoring System
2.8 Limitations of Intelligent Tutoring Systems
2.9 The Future of Intelligent Tutoring Systems
2.10 Conclusion
References
Chapter 3: Natural Language Processing for Education
3.1 What Is NLP?
3.2 Using NLP for Educational Activities
3.3 Benefits and Uses of NLP in Education
3.4 Use Cases and Examples/Applications of NLP in Education
3.5 Conclusion
References
Chapter 4: Predictive Analytics in Education
4.1 What Is Predictive Analytics?
4.2 Examples of Predictive Analytics
4.3 The Evolution of Predictive Analytics in Education
4.4 Reasons for Using Predictive Analytics in Higher Education
4.5 Predictive Analytics Significance in Education
4.6 How Is Predictive Analytics Changing Education?
4.7 How Does Predictive Analytics Help Higher Education?
4.8 Predictive Analytics Uses in Education
4.9 How to Use Predictive Analytics in Education
4.10 Predictive Analytics in Higher Education: Guiding Practices for Ethical Use
4.11 How to Implement Predictive Analytics for Education: Best Practices
4.12 Advantages of Predictive Analytics in Education
4.13 Examples of Predictive Analytics in Education
4.14 Case Studies
4.15 The Benefits of Predictive Analytics in Higher and Further Education
4.16 How Colleges Should Go About Selecting a Predictive Analytics Vendor
4.17 Using Predictive Analytics in eLearning
4.18 The Future of Predictive Analytics in Education
4.19 How to Prepare for the Future of Predictive Analytics for Education
4.20 Conclusion
References
Chapter 5: AI for Mobile Learning
5.1 What Is Mobile Learning, and How and Why Did It Become Widespread?
5.2 Why Adopt Mobile Learning?
5.3 Key Characteristics of mLearning
5.4 What Are the Challenges That Mobile Learning in Education Overcomes?
5.5 Role of Mobile Learning Solutions in the Education Industry
5.6 Key Benefits of Mobile Learning for Higher Education Students
5.7 The Impact of Mobile Learning on the Future of Education
5.8 Pros and Cons of Mobile Learning
5.9 How Are Mobile Learning Apps Taking Advantage of AI?
5.10 How AI Is Changing the Mobile Learning Education Game
5.11 Application of AI in Mobile Learning
5.12 Using AI to Create Personalized Learning Paths in Mobile Learning
5.13 The Challenges of AI-Based Mobile Learning
5.14 Conclusion
References
Chapter 6: AI-Enabled Gamification in Education
6.1 What Is Gamification?
6.2 Reasons to Implement Gamification
6.3 Gamification in an Educational Context
6.4 How Can Gamification Benefit Education?
6.5 How Can Gamification Transform Education?
6.6 Gamification and Artificial Intelligence
6.7 Educational Gamification Powered by AI
6.8 Incorporating AI Into Educational Games
6.9 Conclusion
References
Chapter 7: AR, VR, and AI for Education
7.1 What Is AR and VR?
7.2 How Does VR/AR Fit into the Education System?
7.3 Reasons to Use AR and VR in the Classroom
7.4 The Present Applications of VR and AR in Education
7.4.1 K-12 Education: Enriching Classroom Experiences and Expanding Opportunities
7.5 Examples of VR and AR in Education
7.6 Advantages and Challenges of Using AR in Education
7.7 Advantages and Challenges of Using Virtual Reality in Education
7.8 AI Meets VR and AR
7.9 How AR, VR, and AI Technology Make Education More Accessible
7.10 Benefits of Using VR, AR, or AI in a Classroom Setting
7.11 How VR, AR, and AI Will Transform Universities?
7.12 Conclusion
References
Chapter 8: AI-Based Online/eLearning Platforms
8.1 What Is an AI-Based eLearning Platform?
8.2 Why Use AI in eLearning?
8.3 How Are ML and AI Enhancing Online Learning?
8.4 Benefits of Using AI and ML in eLearning
8.5 Solutions for AI/ML in Online Education
8.6 Various Ways AI-Based eLearning Platform Can Shape Online Learning
8.7 Different Ways That AI Is Being Used in eLearning
8.8 Types of AI in Online Education
8.9 How Is AI Revolutionizing the eLearning Industry?
8.10 AI’s Impact on eLearning
8.11 How AI Is Transforming eLearning?
8.12 Ways Artificial Intelligence Is Transformed eLearning
8.13 Examples of AI Being Used in eLearning
8.14 The Future of eLearning
8.15 Where Do You See the Future of AI in eLearning?
8.16 Potential Applications of AI in Remote Education
8.17 What Is AIaaS in eLearning?
8.18 Conclusion
References
Chapter 9: AI-Enabled Smart Learning
9.1 What Is Smart Education?
9.2 Smart Education vs. Traditional
9.3 Why Should You Choose a Smart Education System?
9.4 What Is Smart Learning?
9.5 Smart Learning: The Wave of Higher Education in the Future
9.6 Pillars of Smart Learning
9.7 The Challenges and Barriers to Smart Learning
9.8 AI Is the Next Step of Smart Learning
9.9 Applying Artificial Intelligence to Smart Learning
9.10 AI-Enabled Smart Learning Examples
9.11 Conclusion
References
Chapter 10: Chatbots for Education
10.1 What Is Chatbot?
10.2 Chatbots Also Participate in Education
10.3 To What End Are AI Chatbots Being Adopted by the Education Sector?
10.4 How Do Chatbots Transform the Traditional Education Process?
10.5 How Can We Best Put Chatbots to Use for Education and Learning?
10.6 How Can Chatbots Be Utilized in Higher Education?
10.7 Best Chatbots for Higher Education
10.8 Various Ways in Which AI and Chatbots Influence the Education
10.9 Advantages of AI-based Chatbots in Education
10.10 Benefits of Using AI Chatbots in the Education Sector
10.11 How AI Chatbots Are Changing Mobile Learning
10.12 How Universities Are Using Education Chatbots to Enhance the System
10.13 Institutions that Deployed Educational Chatbots
10.14 How Can Education Apps Benefit from Chatbots?
10.15 Future of AI Chatbots in the Education Industry
10.16 Conclusion
References
Chapter 11: AI-Assisted Remote Proctored Examinations
11.1 What Is Remote Proctoring?
11.2 Online Proctoring System (OPS): An Overview
11.3 What Is AI Proctoring?
11.4 How Can AI Improve Remote Proctoring Services?
11.5 How AI-Based Remote Proctoring Work?
11.6 How AI Prevents Cheating in Remote Proctoring Exams?
11.7 AI-Assisted Proctoring Software for Monitoring Online Exams
11.8 AI Technologies Used for Remote Proctoring
11.9 Challenges and Opportunities
11.10 Future of AI-Based Proctoring Systems
11.11 Conclusion
References
Chapter 12: Ethics of Artificial Intelligence in Education
12.1 Ethics in AI
12.2 Ethical Implications of Artificial Intelligence
12.3 Ethical Issues of AI in Education
12.3.1 Possible Impacts of AI on the Working Conditions of Educators
12.3.2 Special Educational Needs
12.3.3 Student Tracking
12.4 The Ethical Framework for AI in Education
12.5 Investigating the Moral Implications of AI for K-12 Classrooms
12.6 Artificial Intelligence in Higher Education: Ethical Questions
12.7 Elements to Consider and Questions to Ask
12.8 Recommendations to Enhance AI Implementation in Education
12.8.1 Legislators
12.8.1.1 Recommendations
12.8.2 AI Developers, Companies, and Researchers
12.8.2.1 Recommendations
12.8.2.2 Recommendations
12.8.3 Districts, Schools, and Teachers
12.8.3.1 Recommendations
12.8.3.2 Recommendations
12.9 Conclusion
References
