AI in Learning: Designing the Future

• Corporate Author: SpringerLink (Online service)
• Other Authors: Niemi, Hannele (Editor), Pea, Roy D. (Editor), Lu, Yu (Editor)
• Format: Electronic eBook
• Language: English
• Published: Cham : Springer International Publishing : Imprint: Springer, 2023.
• Edition: 1st ed. 2023.
• Subjects: Psychology.; Social sciences > Data processing.; Education.; Cognitive science.; Teaching.; Artificial intelligence.; Behavioral Sciences and Psychology.; Computer Application in Social and Behavioral Sciences.; Cognitive Science.; Pedagogy.; Artificial Intelligence.
• Online Access: Link to Metadata

Summary

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.

Physical Description

XXV, 344 p. 49 illus., 42 illus. in color. online resource.

ISBN

9783031096877

DOI

10.1007/978-3-031-09687-7

Access

Open Access