Collaborative Paradigms of Generative AI and Human Intelligence for Equitable Learning Futures. This item is unavailable.
Language: English
Published by IGI GLOBAL SCIENTIFIC PUBLISHING, 2026
- Softcover
- New

Unavailable
Softcover
Condition: New
US$ 247.26
Item description from seller
Collaborative Paradigms of Generative AI and Human Intelligence for Equitable Learning Futures | Faizan Ahmad (u. a.) | Taschenbuch | Englisch | 2026 | IGI GLOBAL SCIENTIFIC PUBLISHING | EAN 9798337360645 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Demand.
Seller Inventory # 135407051
- Title
- Collaborative Paradigms of Generative AI and Human Intelligence for Equitable Learning Futures
- Author
- Faizan Ahmad (u. a.)
- Publisher
- IGI GLOBAL SCIENTIFIC PUBLISHING
- Publication year
- 2026
- Condition
- Neu
- Binding
- Taschenbuch
- Language
- English
- ISBN 13
- 9798337360645
- Item weight
- 1,065 grams
- Dimensions
- 254 x 178 x 31 mm
- Seller catalogs
- Bücher
Generative artificial intelligence (GenAI) reshapes educational landscapes, offering new opportunities in improved human intelligence. When integrated, collaborative paradigms that combine GenAI with human cognition support equitable learning futures by personalizing instruction, reducing access barriers, and increasing knowledge diversity. This requires intentional design centered on human agency, ethical responsibility, and inclusivity. Examining how GenAI systems and human intelligence can collaborate may further reveal new paths for fostering learning environments that are technologically advanced, socially just, and pedagogically grounded. Collaborative Paradigms of Generative AI and Human Intelligence for Equitable Learning Futures explores the integration of GenAI and human intelligence into education systems for improved personalization, inclusivity, and strategic planning. It examines the role of educators as implementers of hybrid learning ecosystems, as well as ethical concerns like bias, data privacy, and access to AI tools. This book covers topics such as educational technology, curriculum development, and personalized learning, and is a useful resource for educators, engineers, policymakers, academicians, researchers, and scientists.
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