AI-Enabled Learning for Climate Action brings together scholars, practitioners, policymakers, and innovators to examine how digital learning systems, data platforms, and emerging technologies, including artificial intelligence, digital twins, and immersive tools, can accelerate climate literacy, support green skills and jobs, strengthen institutional decision-making, and enable collective action. The volume advances the editor’s overarching framework that learning is a foundational pillar of climate resilience and sustainable development. Rather than treating digital learning as a delivery mechanism alone, the contributors demonstrate how learning systems function as critical climate infrastructure by building the human and institutional capacities needed for adaptation, mitigation, and long-term resilience.
The chapters span global, regional, and local contexts, with examples from low-, middle-, and high-income countries. They explore how AI-enabled and digital learning approaches can enhance climate awareness and behavior change; equip youth and professionals with future-ready and green skills; support evidence-based policymaking; and enable experiential, problem-based learning grounded in real-world data. Contributors also examine how technology-enabled learning can advance climate justice, strengthen governance, and promote transparency, public participation, and accountability.
Blending conceptual frameworks with applied case studies, this volume offers both the what and the how of designing inclusive, scalable, and action-oriented climate learning ecosystems. It is intended for educators, policymakers, development practitioners, and institutions seeking practical guidance on how AI-enabled learning can help bridge the gap between climate knowledge, skills for the future of work, and meaningful action.
Le informazioni nella sezione "Riassunto" possono far riferimento a edizioni diverse di questo titolo.
Sheila Jagannathan is Vice President, Saylor University; Senior Advisor on 21st century skilling and capacity development to the World Bank and the African Development Bank; and Senior Research Affiliate (Skilling) at George Mason University. She previously served as Global Head of the Open Learning Campus at the World Bank, Washington, DC, where she led one of the world’s largest development learning platforms, serving millions of learners globally through digital learning, knowledge-sharing, and capacity-development initiatives.
Le informazioni nella sezione "Su questo libro" possono far riferimento a edizioni diverse di questo titolo.
Da: Grand Eagle Retail, Bensenville, IL, U.S.A.
Paperback. Condizione: new. Paperback. AI-Enabled Learning for Climate Action brings together scholars, practitioners, policymakers, and innovators to examine how digital learning systems, data platforms, and emerging technologies, including artificial intelligence, digital twins, and immersive tools, can accelerate climate literacy, support green skills and jobs, strengthen institutional decision-making, and enable collective action. The volume advances the editors overarching framework that learning is a foundational pillar of climate resilience and sustainable development. Rather than treating digital learning as a delivery mechanism alone, the contributors demonstrate how learning systems function as critical climate infrastructure by building the human and institutional capacities needed for adaptation, mitigation, and long-term resilience.The chapters span global, regional, and local contexts, with examples from low-, middle-, and high-income countries. They explore how AI-enabled and digital learning approaches can enhance climate awareness and behavior change; equip youth and professionals with future-ready and green skills; support evidence-based policymaking; and enable experiential, problem-based learning grounded in real-world data. Contributors also examine how technology-enabled learning can advance climate justice, strengthen governance, and promote transparency, public participation, and accountability.Blending conceptual frameworks with applied case studies, this volume offers both the what and the how of designing inclusive, scalable, and action-oriented climate learning ecosystems. It is intended for educators, policymakers, development practitioners, and institutions seeking practical guidance on how AI-enabled learning can help bridge the gap between climate knowledge, skills for the future of work, and meaningful action. AI-Enabled Learning for Climate Action brings together scholars, practitioners, policymakers, and innovators to examine how digital learning systems, data platforms, and emerging technologies can accelerate climate literacy, support green skills and jobs, strengthen institutional decision-making, and enable collective action. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Codice articolo 9781041040231
Quantità: 1 disponibili
Da: California Books, Miami, FL, U.S.A.
Condizione: New. Codice articolo I-9781041040231
Quantità: Più di 20 disponibili
Da: PBShop.store UK, Fairford, GLOS, Regno Unito
PAP. Condizione: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000. Codice articolo L0-9781041040231
Quantità: Più di 20 disponibili
Da: Kennys Bookshop and Art Galleries Ltd., Galway, GY, Irlanda
Condizione: New. 2026. 1st Edition. paperback. . . . . . Codice articolo V9781041040231
Quantità: Più di 20 disponibili
Da: Speedyhen, Hertfordshire, Regno Unito
Condizione: NEW. Codice articolo NW9781041040231
Quantità: 4 disponibili
Da: AHA-BUCH GmbH, Einbeck, Germania
Taschenbuch. Condizione: Neu. Neuware - AI-Enabled Learning for Climate Action brings together scholars, practitioners, policymakers, and innovators to examine how digital learning systems, data platforms, and emerging technologies, including artificial intelligence, digital twins, and immersive tools, can accelerate climate literacy, support green skills and jobs, strengthen institutional decision-making, and enable collective action. The volume advances the editor's overarching framework that learning is a foundational pillar of climate resilience and sustainable development. Rather than treating digital learning as a delivery mechanism alone, the contributors demonstrate how learning systems function as critical climate infrastructure by building the human and institutional capacities needed for adaptation, mitigation, and long-term resilience.The chapters span global, regional, and local contexts, with examples from low-, middle-, and high-income countries. They explore how AI-enabled and digital learning approaches can enhance climate awareness and behavior change; equip youth and professionals with future-ready and green skills; support evidence-based policymaking; and enable experiential, problem-based learning grounded in real-world data. Contributors also examine how technology-enabled learning can advance climate justice, strengthen governance, and promote transparency, public participation, and accountability.Blending conceptual frameworks with applied case studies, this volume offers both the what and the how of designing inclusive, scalable, and action-oriented climate learning ecosystems. It is intended for educators, policymakers, development practitioners, and institutions seeking practical guidance on how AI-enabled learning can help bridge the gap between climate knowledge, skills for the future of work, and meaningful action. Codice articolo 9781041040231
Quantità: 2 disponibili
Da: Kennys Bookstore, Olney, MD, U.S.A.
Condizione: New. 2026. 1st Edition. paperback. . . . . . Books ship from the US and Ireland. Codice articolo V9781041040231
Quantità: Più di 20 disponibili
Da: moluna, Greven, Germania
Condizione: New. Sheila Jagannathan is Vice President, Saylor University Senior Advisor on 21st century skilling and capacity development to the World Bank and the African Development Bank and Senior Research Affiliate (Skilling) at George Mason University. She . Codice articolo 3254243179
Quantità: Più di 20 disponibili
Da: CitiRetail, Stevenage, Regno Unito
Paperback. Condizione: new. Paperback. AI-Enabled Learning for Climate Action brings together scholars, practitioners, policymakers, and innovators to examine how digital learning systems, data platforms, and emerging technologies, including artificial intelligence, digital twins, and immersive tools, can accelerate climate literacy, support green skills and jobs, strengthen institutional decision-making, and enable collective action. The volume advances the editors overarching framework that learning is a foundational pillar of climate resilience and sustainable development. Rather than treating digital learning as a delivery mechanism alone, the contributors demonstrate how learning systems function as critical climate infrastructure by building the human and institutional capacities needed for adaptation, mitigation, and long-term resilience.The chapters span global, regional, and local contexts, with examples from low-, middle-, and high-income countries. They explore how AI-enabled and digital learning approaches can enhance climate awareness and behavior change; equip youth and professionals with future-ready and green skills; support evidence-based policymaking; and enable experiential, problem-based learning grounded in real-world data. Contributors also examine how technology-enabled learning can advance climate justice, strengthen governance, and promote transparency, public participation, and accountability.Blending conceptual frameworks with applied case studies, this volume offers both the what and the how of designing inclusive, scalable, and action-oriented climate learning ecosystems. It is intended for educators, policymakers, development practitioners, and institutions seeking practical guidance on how AI-enabled learning can help bridge the gap between climate knowledge, skills for the future of work, and meaningful action. AI-Enabled Learning for Climate Action brings together scholars, practitioners, policymakers, and innovators to examine how digital learning systems, data platforms, and emerging technologies can accelerate climate literacy, support green skills and jobs, strengthen institutional decision-making, and enable collective action. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. Codice articolo 9781041040231
Quantità: 1 disponibili