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        AI in Learning: Designing the Future

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        Contributor(s)
        Niemi, Hannele (editor)
        Pea, Roy D. (editor)
        Lu, Yu (editor)
        Language
        English
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        Abstract
        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.
        URI
        https://library.oapen.org/handle/20.500.12657/60151
        Keywords
        artificial intelligence; life-long learning; tutoring; virtual learning; learning analytics; well-being; simulations; games; intelligent digital tools; deep learning; robotics; human-machine interaction
        DOI
        10.1007/978-3-031-09687-7
        ISBN
        9783031096877, 9783031096877
        Publisher
        Springer Nature
        Publisher website
        https://www.springernature.com/gp/products/books
        Publication date and place
        Cham, 2023
        Imprint
        Springer
        Classification
        Psychology
        Information technology: general topics
        Education
        Philosophy of mind
        Artificial intelligence
        Pages
        344
        Rights
        http://creativecommons.org/licenses/by/4.0/
        • Imported or submitted locally

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        License

        • If not noted otherwise all contents are available under Attribution 4.0 International (CC BY 4.0)

        Credits

        • logo EU
        • This project received funding from the European Union's Horizon 2020 research and innovation programme under grant agreement No 683680, 810640, 871069 and 964352.

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