Advancing AI in Science Education: Envisioning Responsible and Ethical Practice - Couverture rigide

9783032168702: Advancing AI in Science Education: Envisioning Responsible and Ethical Practice

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ISBN 10 : 3032168708 ISBN 13 : 9783032168702

Editeur : Springer Nature Switzerland AG, 2026

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This edited volume explores the responsible and ethical integration of artificial intelligence (AI) science education, examining its impact on teaching, learning, assessment, and broader educational goals. It begins by mapping the current landscape of AI in science classrooms and the ethical questions surrounding its use. The chapters highlight how AI can advance science literacy, inspire creative student engagement, and transform instructional practices, including teacher professional development and the design of learning materials. The book also investigates AI-driven assessment strategies, addressing challenges such as bias and fairness. Ultimately, it considers how AI is reshaping science education, preparing both students and educators to navigate an AI-infused world with responsibility, equity, and critical awareness.

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� propos de l?auteur

Xiaoming Zhai, Associate Professor in Science Education and AI, (courtesy) Associate Professor in Computer Science and in Statistics, serves as Directors of the AI4STEM Education Center and the National GENIUS Center at University of Georgia, USA. His research pioneers the use of AI to transform STEM education. He has published widely, serves as guest editor of various journals, chaired the 2022 and 2025 AI in STEM education conferences, and co-founds and -leads NARST’s RAISE group. He edited Uses of Artificial Intelligence in STEM Education (Oxford, 2024) and Artificial Intelligence in STEM Education Research (Springer, 2026). Dr. Zhai is a leading voice in shaping the future of AI for STEM education.

Kent J. Crippen, Professor of STEM Education at University of Florida, USA. His research advances a resilient STEM workforce by designing environments that immerse students in authentic science and engineering practices. The Crippen Research Group investigates learning and participation across interdisciplinary contexts, including extended reality, AI and data science, engineering design, and molecular modeling. With strong funding and national honors, including as AAAS Fellow, Crippen’s scholarship emphasizes innovation, integrity, impact, and teamwork. He serves as Editor-in-Chief of the Journal of Science Education and Technology, founding editor of the Advances in Technology-Rich Science Education book series, and co-leads NARST’s RAISE RIG.

Les informations fournies dans la section � A propos du livre � peuvent faire r�f�rence � une autre �dition de ce titre.

�diteur: Springer Nature Switzerland AG
Date d'�dition: 2026
Langue: anglais
ISBN 10: 3032168708
ISBN 13: 9783032168702
Reliure: Reli�
Nombre de pages: 327
�diteur: Zhai Xiaoming, Crippen Kent J.
Coordonn�es du fabricant: Springer Nature Customer Service Center GmbH
ProductSafety@springernature.com

Europaplatz 3,69115 Heidelberg, Germany
Heidelberg
69115
Allemagne

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Advancing AI in Science Education (Hardcover)

Xiaoming Zhai

Edit� par Springer Nature Switzerland AG, Cham, 2026

ISBN 10 : 3032168708 ISBN 13 : 9783032168702

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Hardcover. Etat : new. Hardcover. This edited volume offers a timely, domain-specific examination of how artificial intelligence (AI) is reshaping the foundations of science teaching and learning. As AI transforms scientific work, societal expectations, and the skills future citizens need, science education stands at a pivotal crossroads. This book highlights the major shifts AI is drivingredefining educational goals, reshaping classroom procedures, expanding learning materials, enabling dynamic assessment, and altering the competencies students must develop to thrive in an AI-driven world of scientific inquiry and decision-making.Through critical analysis and vivid examples from core scientific practices, the authors reveal AIs dual capacity to enrich and complicate science education. AI offers unprecedented personalization, efficiency, and access to authentic scientific practices, yet also raises concerns around fairness, transparency, privacy, accountability, and the preservation of human judgment. To navigate these tensions, this book introduces the Responsible and Ethical Principles (REP) framework, an action-oriented lens for guiding design, use, and governance that ensures AI advances equity, scientific integrity, and democratic participation. Scholars demonstrate how REP principles inform ethical goals, inclusive materials, trustworthy assessments, and transformative learning outcomes, sometimes constraining as well as enabling AI use as a partner rather than a replacement.Ultimately, Advancing AI in Science Education argues that even as AI reshapes schooling, science education must remain fundamentally human. Empathy, creativity, ethical judgment, and shared meaning-making within scientific communities anchor responsible AI-supported learning and guide an equitable, human-centered future for science education. mso-ligatures: none;">Ultimately, Advancing AI in Science Education argues that even as AI reshapes schooling, science education must remain fundamentally human. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. N� de r�f. du vendeur 9783032168702

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Advancing AI in Science Education: Envisioning Responsible and Ethical Practice

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Advancing AI in Science Education

Xiaoming Zhai

Edit� par Springer, Berlin, Springer Mai 2026, 2026

ISBN 10 : 3032168708 ISBN 13 : 9783032168702

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Buch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This edited volume offers a timely, domain-specific examination of how artificial intelligence (AI) is reshaping the foundations of science teaching and learning. As AI transforms scientific work, societal expectations, and the skills future citizens need, science education stands at a pivotal crossroads. This book highlights the major shifts AI is driving redefining educational goals, reshaping classroom procedures, expanding learning materials, enabling dynamic assessment, and altering the competencies students must develop to thrive in an AI-driven world of scientific inquiry and decision-making.Through critical analysis and vivid examples from core scientific practices, the authors reveal AI s dual capacity to enrich and complicate science education. AI offers unprecedented personalization, efficiency, and access to authentic scientific practices, yet also raises concerns around fairness, transparency, privacy, accountability, and the preservation of human judgment. To navigate these tensions, this book introduces the Responsible and Ethical Principles (REP) framework, an action-oriented lens for guiding design, use, and governance that ensures AI advances equity, scientific integrity, and democratic participation. Scholars demonstrate how REP principles inform ethical goals, inclusive materials, trustworthy assessments, and transformative learning outcomes, sometimes constraining as well as enabling AI use as a partner rather than a replacement.Ultimately, Advancing AI in Science Education argues that even as AI reshapes schooling, science education must remain fundamentally human. Empathy, creativity, ethical judgment, and shared meaning-making within scientific communities anchor responsible AI-supported learning and guide an equitable, human-centered future for science education. 312 pp. Englisch. N� de r�f. du vendeur 9783032168702

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Advancing AI in Science Education | Envisioning Responsible and Ethical Practice

Xiaoming Zhai (u. a.)

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Advancing AI in Science Education

Xiaoming Zhai

Edit� par Springer Mai 2026, 2026

ISBN 10 : 3032168708 ISBN 13 : 9783032168702

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Buch. Etat : Neu. This item is printed on demand - Print on Demand Titel. Neuware -This edited volume offers a timely, domain-specific examination of how artificial intelligence (AI) is reshaping the foundations of science teaching and learning. As AI transforms scientific work, societal expectations, and the skills future citizens need, science education stands at a pivotal crossroads. This book highlights the major shifts AI is drivingredefining educational goals, reshaping classroom procedures, expanding learning materials, enabling dynamic assessment, and altering the competencies students must develop to thrive in an AI-driven world of scientific inquiry and decision-making.Springer Nature Customer Service Center GmbH, Europaplatz 3, 69115 Heidelberg 328 pp. Englisch. N� de r�f. du vendeur 9783032168702

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Advancing AI in Science Education (Hardcover)

Xiaoming Zhai

Edit� par Springer Nature Switzerland AG, Cham, 2026

ISBN 10 : 3032168708 ISBN 13 : 9783032168702

Neuf Couverture rigide

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Hardcover. Etat : new. Hardcover. This edited volume offers a timely, domain-specific examination of how artificial intelligence (AI) is reshaping the foundations of science teaching and learning. As AI transforms scientific work, societal expectations, and the skills future citizens need, science education stands at a pivotal crossroads. This book highlights the major shifts AI is drivingredefining educational goals, reshaping classroom procedures, expanding learning materials, enabling dynamic assessment, and altering the competencies students must develop to thrive in an AI-driven world of scientific inquiry and decision-making.Through critical analysis and vivid examples from core scientific practices, the authors reveal AIs dual capacity to enrich and complicate science education. AI offers unprecedented personalization, efficiency, and access to authentic scientific practices, yet also raises concerns around fairness, transparency, privacy, accountability, and the preservation of human judgment. To navigate these tensions, this book introduces the Responsible and Ethical Principles (REP) framework, an action-oriented lens for guiding design, use, and governance that ensures AI advances equity, scientific integrity, and democratic participation. Scholars demonstrate how REP principles inform ethical goals, inclusive materials, trustworthy assessments, and transformative learning outcomes, sometimes constraining as well as enabling AI use as a partner rather than a replacement.Ultimately, Advancing AI in Science Education argues that even as AI reshapes schooling, science education must remain fundamentally human. Empathy, creativity, ethical judgment, and shared meaning-making within scientific communities anchor responsible AI-supported learning and guide an equitable, human-centered future for science education. mso-ligatures: none;">Ultimately, Advancing AI in Science Education argues that even as AI reshapes schooling, science education must remain fundamentally human. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability. N� de r�f. du vendeur 9783032168702

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Advancing AI in Science Education : Envisioning Responsible and Ethical Practice

Xiaoming Zhai

Edit� par Springer, 2026

ISBN 10 : 3032168708 ISBN 13 : 9783032168702

Neuf Couverture rigide

Vendeur : AHA-BUCH GmbH, Einbeck, Allemagne

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Buch. Etat : Neu. Druck auf Anfrage Neuware - Printed after ordering - This edited volume offers a timely, domain-specific examination of how artificial intelligence (AI) is reshaping the foundations of science teaching and learning. As AI transforms scientific work, societal expectations, and the skills future citizens need, science education stands at a pivotal crossroads. This book highlights the major shifts AI is driving redefining educational goals, reshaping classroom procedures, expanding learning materials, enabling dynamic assessment, and altering the competencies students must develop to thrive in an AI-driven world of scientific inquiry and decision-making.Through critical analysis and vivid examples from core scientific practices, the authors reveal AI s dual capacity to enrich and complicate science education. AI offers unprecedented personalization, efficiency, and access to authentic scientific practices, yet also raises concerns around fairness, transparency, privacy, accountability, and the preservation of human judgment. To navigate these tensions, this book introduces the Responsible and Ethical Principles (REP) framework, an action-oriented lens for guiding design, use, and governance that ensures AI advances equity, scientific integrity, and democratic participation. Scholars demonstrate how REP principles inform ethical goals, inclusive materials, trustworthy assessments, and transformative learning outcomes, sometimes constraining as well as enabling AI use as a partner rather than a replacement.Ultimately, Advancing AI in Science Education argues that even as AI reshapes schooling, science education must remain fundamentally human. Empathy, creativity, ethical judgment, and shared meaning-making within scientific communities anchor responsible AI-supported learning and guide an equitable, human-centered future for science education. N� de r�f. du vendeur 9783032168702

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