A Beginner's Guide to Introduce Artificial Intelligence in Teaching and Learning

ISBN-13: 9783031326523 / Twarda / 2023 / 229 str.

Srinivasa K G

Spis treści

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

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

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

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

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 & 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

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

Chapter 7

  AR, VR, and AI - for Education

 

  7.1 What is AR & 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

 

  7.5 Examples of VR and AR in Education

 

  7.6 Advantages & Challenges of Using AR in education

 

  7.7 Advantages & 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

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 E-Learning?

 

  8.18 Conclusion

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

 

  9.10 AI-enabled Smart Learning Examples

 

  9.11 Conclusion

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

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 & Opportunities

 

  11.10 Future of AI-based Proctoring Systems

 

  11.11 Conclusion

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

 

  12.4 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

 

  12.9 Conclusion

 

O autorze

​Dr. Muralidhar Kurni is an Associate Professor of Artificial Intelligence & Machine Learning Program at Anantha Lakshmi Institute of Technology & Sciences, Anantapuramu, India.

Dr. Mujeeb Shaik Mohammed is an Associate Professor of Computer Science & Engineering Program at Malla Reddy Institute of Technology & Science, Hyderabad, India.

Dr. Srinivasa K G is a Professor of Data Science and Artificial Intelligence Program at International Institute of Information Technology - Naya Raipur, Chhattisgarh, India.

 

Blurb

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.