978-3-031-09687-7.pdf

AI (Artificial Intelligence) is predicted to radically change teaching and learning in both schools and industry causing radical disruption of work. AI can support well-being initiatives and lifelong learning but educational institutions and companies need to take the changing technology into accoun...

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Γλώσσα:English
Έκδοση: Springer Nature 2022
Διαθέσιμο Online:https://link.springer.com/978-3-031-09687-7
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spelling oapen-20.500.12657-601512024-03-27T14:14:52Z AI in Learning: Designing the Future Niemi, Hannele Pea, Roy D. Lu, Yu artificial intelligence life-long learning tutoring virtual learning learning analytics well-being simulations games intelligent digital tools deep learning robotics human-machine interaction thema EDItEUR::J Society and Social Sciences::JM Psychology thema EDItEUR::U Computing and Information Technology::UB Information technology: general topics thema EDItEUR::J Society and Social Sciences::JN Education thema EDItEUR::Q Philosophy and Religion::QD Philosophy::QDT Topics in philosophy::QDTM Philosophy of mind thema EDItEUR::U Computing and Information Technology::UY Computer science::UYQ Artificial intelligence AI (Artificial Intelligence) is predicted to radically change teaching and learning in both schools and industry causing radical disruption of work. AI can support well-being initiatives and lifelong learning but educational institutions and companies need to take the changing technology into account. Moving towards AI supported by digital tools requires a dramatic shift in the concept of learning, expertise and the businesses built off of it. Based on the latest research on AI and how it is changing learning and education, this book will focus on the enormous opportunities to expand educational settings with AI for learning in and beyond the traditional classroom. This open access book also introduces ethical challenges related to learning and education, while connecting human learning and machine learning. This book will be of use to a variety of readers, including researchers, AI users, companies and policy makers. 2022-12-13T12:35:17Z 2022-12-13T12:35:17Z 2023 book ONIX_20221213_9783031096877_21 9783031096877 https://library.oapen.org/handle/20.500.12657/60151 eng application/pdf n/a 978-3-031-09687-7.pdf https://link.springer.com/978-3-031-09687-7 Springer Nature Springer 10.1007/978-3-031-09687-7 10.1007/978-3-031-09687-7 6c6992af-b843-4f46-859c-f6e9998e40d5 301f3062-8d97-4a7d-8498-c003d99b814f 9783031096877 Springer 344 Cham [...] open access
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description AI (Artificial Intelligence) is predicted to radically change teaching and learning in both schools and industry causing radical disruption of work. AI can support well-being initiatives and lifelong learning but educational institutions and companies need to take the changing technology into account. Moving towards AI supported by digital tools requires a dramatic shift in the concept of learning, expertise and the businesses built off of it. Based on the latest research on AI and how it is changing learning and education, this book will focus on the enormous opportunities to expand educational settings with AI for learning in and beyond the traditional classroom. This open access book also introduces ethical challenges related to learning and education, while connecting human learning and machine learning. This book will be of use to a variety of readers, including researchers, AI users, companies and policy makers.
title 978-3-031-09687-7.pdf
spellingShingle 978-3-031-09687-7.pdf
title_short 978-3-031-09687-7.pdf
title_full 978-3-031-09687-7.pdf
title_fullStr 978-3-031-09687-7.pdf
title_full_unstemmed 978-3-031-09687-7.pdf
title_sort 978-3-031-09687-7.pdf
publisher Springer Nature
publishDate 2022
url https://link.springer.com/978-3-031-09687-7
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