Advancing AI in Science Education

Envisioning Responsible and Ethical Practice
Erscheinungsjahr 2026
ISBN: 978-3-032-16870-2
Verlag: Springer

Buch, Englisch, Band 3, 312 Seiten, Format (B × H): 160 mm x 241 mm, Gewicht: 656 g

Reihe: Advances in Technology-Rich Science Education

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 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, 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.

Zielgruppe

Research

Autoren/Hrsg.

Zhai, Xiaoming

Crippen, Kent J.

Fachgebiete

• Sozialwissenschaften Pädagogik Berufliche Bildung Wissenschaftliches Arbeiten, Studientechnik
• Sozialwissenschaften Pädagogik Lehrerausbildung, Unterricht & Didaktik E-Learning, Bildungstechnologie
• Interdisziplinäres Wissenschaften Wissenschaften: Allgemeines
• Sozialwissenschaften Pädagogik Lehrerausbildung, Unterricht & Didaktik Lehrerausbildung
• Sozialwissenschaften Pädagogik Lehrerausbildung, Unterricht & Didaktik Allgemeine Didaktik

Inhaltsverzeichnis

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.

Über Autor(innen)

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.