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…mehr
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.
Donald Clark has over 30 years' experience in online learning, simulations, virtual reality, mobile and artificial intelligence projects. He was a founding member of Epic Group plc and the Founder and CEO of Wildfire Learning. He is a frequent global speaker, blogger, advisor and researcher on AI in learning and is also a Visiting Professor at the University of Derby.
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Section ONE: Introduction; Chapter 01: Homo technus; Chapter 02: What is AI?; Section TWO: Teaching; Chapter 03: Robot teacher fallacy; Chapter 04: Teaching; Section THREE: Chatbots; Chapter 05: AI is the new UI; Chapter 06: Chatbots; Chapter 07: Building chatbots; Section FOUR: Learning; Chapter 08: Content creation; Chapter 09: Video; Chapter 10: Push learning; Chapter 11: Adaptive learning; Chapter 12: Learning organizations; Chapter 13: Assessment; Section FIVE: Data; Chapter 14: Data analytics; Chapter 15: Sentiment analysis; Section SIX: Future; Chapter 16: Future skills; Chapter 17: Ethics and bias; Chapter 18: Employment; Chapter 19: The final frontier; Chapter 20: Where next?