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Artificial intelligence for learning : how to use AI to support employee development /
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| 자료유형 | E-Book |
|---|---|
| 개인저자 | Clark, Donald, (Writer on artificial intelligence), author. |
| 서명/저자사항 | Artificial intelligence for learning :how to use AI to support employee development /Donald Clark. |
| 발행사항 | London, United Kingdom ; New York, NY : Kogan Page Limited, 2020. |
| 발행예정일자 | 2005 |
| 형태사항 | 1 online resource |
| 소장본 주기 | Added to collection customer.56279.3 |
| ISBN | 1789660823 9781789660821 |
| 서지주기 | Includes bibliographical references and index. |
| 내용주기 | Cover -- Contents -- About the author -- About this book -- Preface -- Acknowledgements -- List of abbreviations -- PART ONE Introduction -- 01 Homo technus -- Technological revolutions -- Culture -- Philosophy and mathematics -- Learning technology -- Conclusion -- References -- 02 What is AI? -- AI as idiot savant -- AI is many things -- AI and intelligence -- AI as competence without comprehension -- AI as collective competence -- AI learns -- AI in learning -- References -- PART TWO Teaching -- 03 Robot teacher fallacy -- Anthropomorphizing AI in learning -- Reductive robot fallacy Teaching versus technology -- References -- 04 Teaching -- AI for teacher administration -- AI for teaching activities -- AI for enhancing teaching -- AI and online learning make you a better teacher -- References -- PART THREE Chatbots -- 05 AI is the new UI -- Invisible interface -- Learning interfaces -- Voice in learning -- Future interfaces -- Conclusion -- References -- 06 Chatbots -- The tutorbot that fooled everyone -- Chatbots and learning theory -- Uses of chatbots in learning -- References -- 07 Building chatbots -- Building or buying a chatbot -- Chatbot abuse -- Botched bots Caution -- Conclusion -- References -- PART FOUR Learning -- 08 Content creation -- Learning science -- Text -- Natural language processing (NLP) -- Content creation -- Summarize text content -- Adapt language content -- Create content from existing resources -- Open input content -- Create content from scratch -- Conclusion -- References -- 09 Video -- What can we learn from YouTube? -- What can we learn from Netflix? -- Video and AI -- AI turns video into deep learning -- Retrieval -- Conclusion -- References -- 10 Push learning -- Peer learning -- Nudge learning -- Campaigns -- Interleaving Spaced practice -- Conclusion -- References -- 11 Adaptive learning -- Adaptive learning -- Types of adaptation -- Adaptive results -- Conclusion -- References -- 12 Learning organizations -- What can we learn from Amazon? -- AI and informal learning -- Moments of need -- From LMS to LXP -- Organizational learning -- Conclusion -- References -- 13 Assessment -- Recruitment and assessment -- Digital identification -- Plagiarism and AI -- Automatic essay assessment -- Reference -- PART FIVE Data -- 14 Data analytics -- Sources of data -- Data pitfalls -- Types of data -- Learners and data Learning analytics -- Level 1 -- describe -- Level 2 -- analyse -- Level 3 -- predict -- Level 4 -- prescribe -- A/B testing -- Learning analytics and organizational change -- Conclusion -- References -- 15 Sentiment analysis -- Social learning -- Sentiment analysis -- Digging deeper -- Conclusion -- References -- PART SIX Future -- 16 Future skills -- AI and learning design -- AI and technology design -- AI and data design -- AI as agile production -- AI and procurement -- Conclusion -- References -- 17 Ethics and bias -- Brains and AI -- Human bias and AI -- Common charges -- AI as statistics |
| 요약 | "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"-- |
| 일반주제명 | Employees -- Training of -- Technological innovations. Artificial intelligence. Artificial intelligence. Employees -- Training of -- Technological innovations. |
| 언어 | 영어 |
| 기타형태 저록 | Print version:Clark, Donald (Writer on artificial intelligence).Artificial intelligence for learningLondon, United Kingdom ; New York, NY : Kogan Page Limited, 2020.9781789660814 |
| 대출바로가기 | http://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&db=nlabk&AN=2619410 |
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