Description

Book Synopsis
Artificial intelligence is creating huge opportunities for workplace learning and employee development. However, it can be difficult for L&D professionals to assess what difference AI can make in their organization and where it is best implemented. Artificial Intelligence for Learning is the practical guide L&D practitioners need to understand what AI is and how to use it to improve all aspects of learning in the workplace. It includes specific guidance on how AI can provide content curation and personalization to improve learner engagement, how it can be implemented to improve the efficiency of evaluation, assessment and reporting and how chatbots can provide learner support to a global workforce. Artificial Intelligence for Learning debunks the myths and cuts through the hype around AI allowing L&D practitioners to feel confident in their ability to critically assess where artificial intelligence can make a measurable difference and where it is worth investing in. There is also critical discussion of how AI is an aid to learning and development, not a replacement as well as how it can be used to boost the effectiveness of workplace learning, reduce drop off rates in online learning and improve ROI. With real-world examples from companies who have effectively implemented AI and seen the benefits as well as case studies from organizations including Netflix, British Airways and the NHS, this book is essential reading for all L&D practitioners needing to understand AI and what it means in practice.

Trade Review
"The world of workplace learning will be dominated by AI within a few years. Artificial Intelligence for Learning plots a clear and concise path through what is the biggest opportunity the industry has had for many years." * Paul McElvaney, CEO of Learning Pool *
"Donald Clark has been at the leading edge of technology in learning for over 30 years. His take on tech is always informed by his detailed knowledge of learning theory. This book on AI is no exception - it's bold, thorough, bang up to date, well-researched, evidence-based and practical." * Kirstie Donnelly MBE, CEO of City & Guilds Group *

Table of Contents
  • Section - PART ONE: Introduction;
  • Section - 01: Homo technus;
  • Section - 02: What is AI?;
  • Section - PART TWO: Teaching;
  • Section - 03: Robot teacher fallacy;
  • Section - 04: Teaching;
  • Section - PART THREE: Chatbots;
  • Section - 05: AI is the new UI;
  • Section - 06: Chatbots;
  • Section - 07: Building chatbots;
  • Section - PART FOUR: Learning;
  • Section - 08: Content creation;
  • Section - 09: Video;
  • Section - 10: Push learning;
  • Section - 11: Adaptive learning;
  • Section - 12: Learning organizations;
  • Section - 13: Assessment;
  • Section - PART FIVE: Data;
  • Section - 14: Data analytics;
  • Section - 15: Sentiment analysis;
  • Section - PART SIX: Future;
  • Section - 16: Future skills;
  • Section - 17: Ethics and bias;
  • Section - 18: Employment;
  • Section - 19: The final frontier;
  • Section - 20: Where next?;
  • Section - 21: Index

Artificial Intelligence for Learning: How to use

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    A Paperback / softback by Donald Clark

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      View other formats and editions of Artificial Intelligence for Learning: How to use by Donald Clark

      Publisher: Kogan Page Ltd
      Publication Date: 13/08/2020
      ISBN13: 9781789660814, 978-1789660814
      ISBN10: 1789660815

      Description

      Book Synopsis
      Artificial intelligence is creating huge opportunities for workplace learning and employee development. However, it can be difficult for L&D professionals to assess what difference AI can make in their organization and where it is best implemented. Artificial Intelligence for Learning is the practical guide L&D practitioners need to understand what AI is and how to use it to improve all aspects of learning in the workplace. It includes specific guidance on how AI can provide content curation and personalization to improve learner engagement, how it can be implemented to improve the efficiency of evaluation, assessment and reporting and how chatbots can provide learner support to a global workforce. Artificial Intelligence for Learning debunks the myths and cuts through the hype around AI allowing L&D practitioners to feel confident in their ability to critically assess where artificial intelligence can make a measurable difference and where it is worth investing in. There is also critical discussion of how AI is an aid to learning and development, not a replacement as well as how it can be used to boost the effectiveness of workplace learning, reduce drop off rates in online learning and improve ROI. With real-world examples from companies who have effectively implemented AI and seen the benefits as well as case studies from organizations including Netflix, British Airways and the NHS, this book is essential reading for all L&D practitioners needing to understand AI and what it means in practice.

      Trade Review
      "The world of workplace learning will be dominated by AI within a few years. Artificial Intelligence for Learning plots a clear and concise path through what is the biggest opportunity the industry has had for many years." * Paul McElvaney, CEO of Learning Pool *
      "Donald Clark has been at the leading edge of technology in learning for over 30 years. His take on tech is always informed by his detailed knowledge of learning theory. This book on AI is no exception - it's bold, thorough, bang up to date, well-researched, evidence-based and practical." * Kirstie Donnelly MBE, CEO of City & Guilds Group *

      Table of Contents
      • Section - PART ONE: Introduction;
      • Section - 01: Homo technus;
      • Section - 02: What is AI?;
      • Section - PART TWO: Teaching;
      • Section - 03: Robot teacher fallacy;
      • Section - 04: Teaching;
      • Section - PART THREE: Chatbots;
      • Section - 05: AI is the new UI;
      • Section - 06: Chatbots;
      • Section - 07: Building chatbots;
      • Section - PART FOUR: Learning;
      • Section - 08: Content creation;
      • Section - 09: Video;
      • Section - 10: Push learning;
      • Section - 11: Adaptive learning;
      • Section - 12: Learning organizations;
      • Section - 13: Assessment;
      • Section - PART FIVE: Data;
      • Section - 14: Data analytics;
      • Section - 15: Sentiment analysis;
      • Section - PART SIX: Future;
      • Section - 16: Future skills;
      • Section - 17: Ethics and bias;
      • Section - 18: Employment;
      • Section - 19: The final frontier;
      • Section - 20: Where next?;
      • Section - 21: Index

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