Artificial Intelligence for Learning

Critically assess the impact of artificial intelligence on the L&D function and understand how to use it to improve learning in the workplace.

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.

Explains how AI can be used as an aid in employee learning

Auteur
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.

Texte du rabat

Critically assess the impact of artificial intelligence on the L&D function and understand how to use it to improve learning in the workplace.

Contenu

• 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?