Advancing AI in Science Education. Envisioning Responsible and Ethical Practice. 1st ed. 2026.

Sonst. Personen	Zhai, Xiaoming (Hrsg.); Crippen, Kent J. (Hrsg.)
Titel	Advancing AI in Science Education. Envisioning Responsible and Ethical Practice. 1st ed. 2026.
Quelle	Cham: Springer Nature Switzerland (2026), XV, 312 S. PDF als Volltext Link als defekt meldenVerfügbarkeit
Reihe	Advances in Technology-Rich Science Education. 3
Beigaben	Illustrationen 36; farbige Illustrationen 29
Sprache	englisch
Dokumenttyp	online; gedruckt; Monografie
ISBN	978-3-032-16870-2; 978-3-032-16871-9; 978-3-032-16872-6; 978-3-032-16873-3
DOI	10.1007/978-3-032-16871-9
Schlagwörter	Lernfähigkeit; Digitale Medien; Lehrer; Lehrerin; Lehrerausbildung; Lernen; Lehren; Unterrichtsmedien; Unterrichtstechnologie; Naturwissenschaftlicher Unterricht; Wissenschaft; Studierfähigkeit
Abstract	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. Chapters 2 and 11 are licensed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License. Inhalt: The landscape of ai in science education what is changing and how to respond -- AI in contemporary science practice implications for ai integrated science education -- Responsible and ethical principles for the practice of ai supported science education -- AI enhanced science literacy science literacy plus -- AI transformations of science education goals to prepare students as lifelong investigators -- Science teaching and learning with artificial intelligence -- Capitalizing on ai to create critical entry points to support science teacher learning and the work of science teaching -- Transforming science learning materials in the era of artificial intelligence -- Addressing challenges of science assessment with artificial intelligence -- AI based science assessment potential pitfalls and responsible and ethical practice -- Preparing students for living in an ai infused world revisiting the outcomes of science education -- Charting the future of ai supported science education a human centered vision.
Erfasst von	Universitätsbibliothek der Humboldt-Universität zu Berlin
Update	2026/4