Artificial Intelligence for Learning
eBook - ePub

Artificial Intelligence for Learning

Using AI and Generative AI to Support Learner Development

  1. 312 pages
  2. English
  3. ePUB (mobile friendly)
  4. Available on iOS & Android
eBook - ePub

Artificial Intelligence for Learning

Using AI and Generative AI to Support Learner Development

About this book

With Artificial Intelligence (AI) creating huge opportunities for learning and employee development, how can learning professionals best implement the use of AI into their environment?

Artificial Intelligence for Learning is the essential guide for learning professionals who want to understand how to use AI to improve all aspects of learning in organizations. This new edition debunks the myths and misconceptions around AI, discusses the learning theory behind generative AI and gives strategic and practical advice on how AI can be used.

This book also includes specific guidance on how AI can provide learning support, chatbot functionality and content, as well as ideas on ethics and personalization. This book is necessary reading for all learning practitioners needing to understand AI and what it means in practice.

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Yes, you can access Artificial Intelligence for Learning by Donald Clark in PDF and/or ePUB format, as well as other popular books in Education & Business Education. We have over one million books available in our catalogue for you to explore.

Information

Publisher
Kogan Page
Year
2024
Print ISBN
9781789660814
eBook ISBN
9781398615762
Edition
2

Table of contents

  1. List of figures and tables
  2. Preface
  3. Acknowledgements
  4. List of abbreviations
  5. 01 Homo technus
  6. 02 What is AI?
  7. 03 Learning theory and AI
  8. 04 AI is the new UI
  9. 05 Teaching
  10. 06 Universal teacher
  11. 07 Chatbots
  12. 08 AI and performance support
  13. 09 AI content creation
  14. 10 Adaptive learning
  15. 11 Data analytics
  16. 12 AI learning organizations
  17. 13 AI and ethics
  18. 14 AI and bias
  19. 15 AI and employment
  20. 16 AI and extinction
  21. 17 Where next?
  22. 18 Learning frontiers
  23. 19 Crossing learning frontiers
  24. Index