Advancing AI in science education envisioning responsible and ethical practice Xiaoming Zhai, Kent J. Crippen, editors

Format:

Book

Author/Creator:

Zhai, Xiaoming.

Contributor:

Zhai, Xiaoming, editor.

Crippen, Kent J., editor.

Series:

Advances in technology-rich science education ; 3091-3403 volume 3

Advances in technology-rich science education 3091-3403 volume 3

Language:

English

Subjects (All):

Science--Study and teaching.

Science.

Artificial intelligence--Educational applications.

Artificial intelligence.

Physical Description:

1 online resource

Place of Publication:

Cham Springer [2026]

Summary:

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

Contents:

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

Notes:

Online resource; title from PDF title page (SpringerLink, viewed June 3, 2026)

Other Format:

Print version Zhai, Xiaoming Advancing AI in Science Education

ISBN:

9783032168719

3032168716

OCLC:

1593772448

Access Restriction:

Restricted for use by site license