Advances in Technology-Rich Science Education – serie
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4 produkter
4 produkter
Del 1 - Advances in Technology-Rich Science Education
Artificial Intelligence for STEM Education Research
Advanced Methods and Applications
Inbunden, Engelska, 2026
542 kr
Skickas inom 10-15 vardagar
This open access volume explores the transformative use of Artificial Intelligence (AI) as innovative methodologies in STEM education research. Featuring contributions from leading experts, it presents a rich collection of chapters that examine how AI tools—such as adaptive learning systems, automatic scoring, explainable AI, and intelligent tutoring—can be applied to enhance educational outcomes. Designed for researchers, educators, and graduate students, the book provides in-depth insights into AI as cutting-edge research methods and its potential to revolutionize research practices. Through practical examples, case studies, and methodological details, it serves as an essential resource for those looking to push beyond conventional methods and embrace the possibilities offered by AI in educational research.
Del 2 - Advances in Technology-Rich Science Education
Practical Work in Science Education in the Digital Era
Challenges and Opportunities
Inbunden, Engelska, 2026
542 kr
Skickas inom 10-15 vardagar
This Open Access volume presents a comprehensive and updated vision of practical work, aligned with 21st-century digital challenges and competency demands. It explores a wide range of issues related to both physical and digital practical work, highlighting the strengths and limitations of various approaches. The book emphasizes that digital practical work should complement, not replace, physical practical work to maximize student learning. It also addresses emerging issues related to artificial intelligence, safety, ethics, and inclusivity in practical work, and discusses the implications for teacher education and student assessment.By offering an in-depth view of practical work, this book serves as a valuable resource for those involved in science education research, educational policy, STEM education, and science teacher education. It provides an overview of key issues in using and assessing physical and digital practical work, ensuring adherence to best ethical practices.
Del 3 - Advances in Technology-Rich Science Education
Advancing AI in Science Education
Envisioning Responsible and Ethical Practice
Inbunden, Engelska, 2026
1 877 kr
Skickas inom 10-15 vardagar
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.
Inbunden, Engelska, 2026
1 925 kr
Kommande
This edited volume explores how artificial intelligence (AI) is transforming science education across multiple dimensions—including theoretical, pedagogical, ethical, and practical aspects. Aimed at science educators, curriculum developers, researchers, and policymakers, the book brings together 19 chapters authored by experts in science education, educational technology, and artificial intelligence. The book addresses a growing need for educational innovation in the age of AI, offering both conceptual insights and hands-on strategies to integrate AI tools into science teaching, learning, assessment, and teacher education. It introduces foundational AI concepts relevant to educational contexts, highlights prompt writing and engineering as emerging pedagogical skills, and discusses the ethical implications of AI use in classrooms. Key topics include the development of adaptive and data-driven learning environments, the role of AI in teaching the Nature of Science, and the integration of AI-supported tools to foster 21st-century competencies such as creativity, argumentation, data literacy, and scientific process skills. The book also presents AI-enhanced instructional strategies—ranging from flipped learning to drama-based science teaching—and showcases sample lesson plans suitable for K-12 and higher education contexts. By combining evidence-based research with application-focused examples, this book aims to support educators and decision-makers in navigating the rapidly evolving landscape of AI in education. It offers actionable insights to help stakeholders make informed decisions and design future-ready science education experiences. This volume is particularly relevant as science educators and systems worldwide grapple with how best to prepare students for an AI-augmented future. It provides a structured, interdisciplinary framework to harness AI’s potential while addressing associated pedagogical and ethical challenges.