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Advanced AI Technologies for Improving Education Systems

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Τίτλος: Advanced AI Technologies for Improving Education Systems
Περιγραφή: AI is expected to radically change teaching and learning in both schools and industry causing radical disruption of work. AI can support initiatives and lifelong learning, but educational institutions and companies need to take changing technology into account. Moving towards AI supported by digital tools requires a major shift in the concept of learning, expertise, and its business applications.The book explores the concepts of advancements in teaching and learning. It comprises the latest research on AI and how it is changing learning and education. The book focuses on the opportunities to expand educational settings with AI for learning in and beyond the traditional classroom. It also deals with ethical challenges related to learning and education, while connecting human learning and machine learning. It will be of use to a range of readers, including researchers, AI users, companies, and policy makers.
Συγγραφείς: Amit Kumar Tyagi
Resource Type: eBook.
Categories: COMPUTERS / Data Science / Machine Learning, COMPUTERS / Artificial Intelligence / General, COMPUTERS / Software Development & Engineering / Computer Graphics, TECHNOLOGY & ENGINEERING / Robotics
Βάση Δεδομένων: eBook Index
FullText Text:
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  Data: AI is expected to radically change teaching and learning in both schools and industry causing radical disruption of work. AI can support initiatives and lifelong learning, but educational institutions and companies need to take changing technology into account. Moving towards AI supported by digital tools requires a major shift in the concept of learning, expertise, and its business applications.The book explores the concepts of advancements in teaching and learning. It comprises the latest research on AI and how it is changing learning and education. The book focuses on the opportunities to expand educational settings with AI for learning in and beyond the traditional classroom. It also deals with ethical challenges related to learning and education, while connecting human learning and machine learning. It will be of use to a range of readers, including researchers, AI users, companies, and policy makers.
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        Text: English
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            – D: 01
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              Type: published
              Y: 2026
            – D: 27
              M: 04
              Type: profile
              Y: 2026
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