Artificial intelligence for learning: how to use AI to support employee development
"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 t...
Gespeichert in:
| 1. Verfasser: | |
|---|---|
| Format: | Buch |
| Sprache: | English |
| Veröffentlicht: |
London ; New York, NY ; New Delhi
Kogan Page
[2020]
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| Schlagworte: | |
| Online-Zugang: | Inhaltsverzeichnis |
| Zusammenfassung: | "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"-- |
| Beschreibung: | Literaturangaben |
| Beschreibung: | xx, 293 Seiten 24 cm |
| ISBN: | 9781789660814 1789660815 9781789660838 1789660831 |
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| 520 | 3 | |a "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"-- | |
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Datensatz im Suchindex
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| adam_text | CONTENTS About the author xiii About this book xiv Preface xvii Acknowledgements xxi List of abbreviations xxii PART ONE Introduction і oi Homo technus з Technological revolutions 3 Culture 6 Philosophy and mathematics 7 Learning technology 8 Conclusion 12 References 12 02 What is Al? 14 AI as idiot savant 14 AI is many things 15 AI and intelligence 16 AI as competence without comprehension 17 AI as collective competence 19 AI learns 22 AI in learning 23 References 26
viii CONTENTS PART TWO Teaching 27 03 Robot teacher fallacy 29 Anthropomorphizing AI in learning 29 Reductive robot fallacy 31 Teaching versus technology 35 References 37 04 Teaching 39 Aí for teacher administration 39 AI for teaching activities 43 AI for enhancing teaching 48 AI and online learning make you a better teacher 52 References 53 PART THREE Chatbots 55 05 Al is the new Ul 57 Invisible interface 60 Learning interfaces 62 Voice in learning 63 Future interfaces 66 Conclusion 68 References 69 06 Chatbots 70 The tutorbot that fooled everyone 71 Chatbots and learning theory 74 Uses of chatbots in learning 77 References 83
CONTENTS 07 Building chatbots 85 Building or buying a chatbot 85 Chatbot abuse 91 Botched bots 93 Caution 94 Conclusion 96 References 97 PART FOUR Learning 99 08 Content creation ιοί Learning science 101 Text 102 Natural language processing (NLP) 103 Content creation 104 Summarize text content 105 Adapt language content 107 Create content from existing resources 108 Open input content 111 Create content from scratch 112 Conclusion 115 References 115 09 Video 117 What can we learn from YouTube? 117 What can we learn from Netflix? 118 Video and AI 121 AI turns video into deep learning 123 Retrieval 125 Conclusion 126 References 127 10 Push learning 128 Peer learning 129 Nudge learning 130 ІХ
CONTENTS Campaigns 133 Interleaving 133 Spaced practice 135 Conclusion 139 References 139 11 Adaptive learning i4i Adaptive learning 141 Types of adaptation 143 Adaptive results 149 Conclusion 152 References 153 12 Learning organizations 154 What can we learn from Amazon? 154 AI and informal learning 156 Moments of need 158 From LMS to LXP 158 Organizational learning 165 Conclusion 166 References 166 13 Assessment 167 Recruitment and assessment 167 Digital identification 168 Plagiarism and AI 169 Automatic essay assessment 171 Reference 174 PART FIVE Data 175 14 Data analytics m Sources of data 177 Data pitfalls 178 Types of data 180 Learners and data 182
CONTENTS Learning analytics 183 Level 1 - describe 184 Level 2 - analyse 186 Level 3 - predict 189 Level 4 - prescribe 190 A/В testing 192 Learning analytics and organizational change 193 Conclusion 194 References 195 15 Sentiment analysis 197 Social learning 198 Sentiment analysis 199 Digging deeper 202 Conclusion 204 References 204 PART SIX Future 16 205 Future skills 207 AI and learning design 208 AI and technology design 212 AI and data design 214 AI as agile production 217 AI and procurement 219 Conclusion 221 References 221 17 Ethics and bias 222 Brains and AI 223 Human bias and AI 225 Common charges 227 AI as statistics 231 Avoiding bias 232 Pedagogic concerns 233 X¡
хм CONTENTS Doomsday is hot 235 Conclusion 237 References 238 18 Employment 240 47 per cent of jobs will be automated... 241 65 per cent of today’s students will be employed in jobs that don’t exist yet... 244 Professions and AI 244 Learning jobs and AI 249 Under- and unemployment 252 Conclusion 256 References 256 19 The final frontier 258 AI, AR and VR 260 Neurotech 262 Runaway learning 266 References 272 20 Where next? 274 Technology 274 Utopian 277 Dystopian 277 References 281 Index 283
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| adam_txt |
CONTENTS About the author xiii About this book xiv Preface xvii Acknowledgements xxi List of abbreviations xxii PART ONE Introduction і oi Homo technus з Technological revolutions 3 Culture 6 Philosophy and mathematics 7 Learning technology 8 Conclusion 12 References 12 02 What is Al? 14 AI as idiot savant 14 AI is many things 15 AI and intelligence 16 AI as competence without comprehension 17 AI as collective competence 19 AI learns 22 AI in learning 23 References 26
viii CONTENTS PART TWO Teaching 27 03 Robot teacher fallacy 29 Anthropomorphizing AI in learning 29 Reductive robot fallacy 31 Teaching versus technology 35 References 37 04 Teaching 39 Aí for teacher administration 39 AI for teaching activities 43 AI for enhancing teaching 48 AI and online learning make you a better teacher 52 References 53 PART THREE Chatbots 55 05 Al is the new Ul 57 Invisible interface 60 Learning interfaces 62 Voice in learning 63 Future interfaces 66 Conclusion 68 References 69 06 Chatbots 70 The tutorbot that fooled everyone 71 Chatbots and learning theory 74 Uses of chatbots in learning 77 References 83
CONTENTS 07 Building chatbots 85 Building or buying a chatbot 85 Chatbot abuse 91 Botched bots 93 Caution 94 Conclusion 96 References 97 PART FOUR Learning 99 08 Content creation ιοί Learning science 101 Text 102 Natural language processing (NLP) 103 Content creation 104 Summarize text content 105 Adapt language content 107 Create content from existing resources 108 Open input content 111 Create content from scratch 112 Conclusion 115 References 115 09 Video 117 What can we learn from YouTube? 117 What can we learn from Netflix? 118 Video and AI 121 AI turns video into deep learning 123 Retrieval 125 Conclusion 126 References 127 10 Push learning 128 Peer learning 129 Nudge learning 130 ІХ
CONTENTS Campaigns 133 Interleaving 133 Spaced practice 135 Conclusion 139 References 139 11 Adaptive learning i4i Adaptive learning 141 Types of adaptation 143 Adaptive results 149 Conclusion 152 References 153 12 Learning organizations 154 What can we learn from Amazon? 154 AI and informal learning 156 Moments of need 158 From LMS to LXP 158 Organizational learning 165 Conclusion 166 References 166 13 Assessment 167 Recruitment and assessment 167 Digital identification 168 Plagiarism and AI 169 Automatic essay assessment 171 Reference 174 PART FIVE Data 175 14 Data analytics m Sources of data 177 Data pitfalls 178 Types of data 180 Learners and data 182
CONTENTS Learning analytics 183 Level 1 - describe 184 Level 2 - analyse 186 Level 3 - predict 189 Level 4 - prescribe 190 A/В testing 192 Learning analytics and organizational change 193 Conclusion 194 References 195 15 Sentiment analysis 197 Social learning 198 Sentiment analysis 199 Digging deeper 202 Conclusion 204 References 204 PART SIX Future 16 205 Future skills 207 AI and learning design 208 AI and technology design 212 AI and data design 214 AI as agile production 217 AI and procurement 219 Conclusion 221 References 221 17 Ethics and bias 222 Brains and AI 223 Human bias and AI 225 Common charges 227 AI as statistics 231 Avoiding bias 232 Pedagogic concerns 233 X¡
хм CONTENTS Doomsday is hot 235 Conclusion 237 References 238 18 Employment 240 47 per cent of jobs will be automated. 241 65 per cent of today’s students will be employed in jobs that don’t exist yet. 244 Professions and AI 244 Learning jobs and AI 249 Under- and unemployment 252 Conclusion 256 References 256 19 The final frontier 258 AI, AR and VR 260 Neurotech 262 Runaway learning 266 References 272 20 Where next? 274 Technology 274 Utopian 277 Dystopian 277 References 281 Index 283 |
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| isbn | 9781789660814 1789660815 9781789660838 1789660831 |
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| spelling | Clark, Donald Verfasser aut Artificial intelligence for learning how to use AI to support employee development Donald Clark London ; New York, NY ; New Delhi Kogan Page [2020] © 2020 xx, 293 Seiten 24 cm txt rdacontent n rdamedia nc rdacarrier Literaturangaben "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"-- Künstliche Intelligenz (DE-588)4033447-8 gnd rswk-swf Lernen (DE-588)4035408-8 gnd rswk-swf Arbeitnehmer (DE-588)4002623-1 gnd rswk-swf Employees / Training of / Technological innovations Artificial intelligence Künstliche Intelligenz (DE-588)4033447-8 s Lernen (DE-588)4035408-8 s Arbeitnehmer (DE-588)4002623-1 s DE-604 Erscheint auch als Online-Ausgabe 978-1-78966-082-1 Digitalisierung UB Passau - ADAM Catalogue Enrichment application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=032265643&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA Inhaltsverzeichnis |
| spellingShingle | Clark, Donald Artificial intelligence for learning how to use AI to support employee development Künstliche Intelligenz (DE-588)4033447-8 gnd Lernen (DE-588)4035408-8 gnd Arbeitnehmer (DE-588)4002623-1 gnd |
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| title | Artificial intelligence for learning how to use AI to support employee development |
| title_auth | Artificial intelligence for learning how to use AI to support employee development |
| title_exact_search | Artificial intelligence for learning how to use AI to support employee development |
| title_exact_search_txtP | Artificial intelligence for learning how to use AI to support employee development |
| title_full | Artificial intelligence for learning how to use AI to support employee development Donald Clark |
| title_fullStr | Artificial intelligence for learning how to use AI to support employee development Donald Clark |
| title_full_unstemmed | Artificial intelligence for learning how to use AI to support employee development Donald Clark |
| title_short | Artificial intelligence for learning |
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