AI in Education

A Practical Guide for Families, Educators, and Students
Erscheinungsjahr 2027
ISBN: 978-3-032-36349-7
Verlag: Springer

Buch, Englisch, 536 Seiten, Format (B × H): 155 mm x 235 mm

This practical guide provides a comprehensive roadmap for navigating the rapidly evolving landscape of artificial intelligence in schools and higher education. Designed to bridge the gap between complex technical AI mechanisms and daily educational realities, it breaks down generative AI into actionable strategies that transform these tools into effective learning partners. Educators, families, and school leaders will discover how to successfully integrate AI into classrooms and home environments while preserving the core value of human-led instruction. Beyond mere application, the book addresses the critical ethical and structural challenges of the AI era, including student privacy, data security, academic integrity, and digital equity. Through a series of hands-on projects and case studies, it establishes a robust, human-centered framework designed to safeguard human agency. Ultimately, this volume empowers school communities to cultivate civic AI literacy, ensuring that next-generation learners are uniquely equipped to thrive in an automated, AI-enabled future job market.

Zielgruppe

Professional/practitioner

Autoren/Hrsg.

Kang, James Jin

Monteau, Emily

Fachgebiete

• Sozialwissenschaften Pädagogik Pädagogik
• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz
• Sozialwissenschaften Pädagogik Lehrerausbildung, Unterricht & Didaktik E-Learning, Bildungstechnologie

Inhaltsverzeichnis

AI Foundations and Learning Contexts .- AI Is Already Part of School Life.- Understanding Artificial Intelligence.- How Children Encounter AI in Everyday Life.- Understanding AI Systems and Generative AI in Education.- Teachers and AI as Learning Partners .- AI in Educational Practice .- How Schools Are Using AI.- AI for Inclusive and Accessible Learning.- AI in STEM Education and the Future of Assessment.- Creativity and AI in Arts, Music and Beyond.- Hands-On AI Projects for Home and School.- AI in Built Environment Education.- The Business and Ecosystem of Educational AI .- Ethics, Safety, Responsibility and Equity in AI .- Understanding AI Safety and Risks.- Privacy Security and Child Protection in the AI Era.- AI Assessment and Academic Integrity.- AI Equity and Learning Inequality.- Civic AI Literacy and Responsible Citizenship.- What Should Not Be Automated .- Leadership and Human-Centred AI in Schools .- Selecting AI Tools for Schools and Families.- Preparing Learners for an AI-Enabled Future.- Preparing Teachers for AI-Enhanced Education.- A Human-Centred Framework for AI in Schools.

Über Autor(innen)

James Jin Kang is an Associate Professor who has taught across multiple countries and is currently based at RMIT University, Vietnam. He brings over 25 years of extensive experience spanning both the telecommunications industry and academia. He holds a PhD from Deakin University and master's degrees from UTS and KAIST. Recognized in the top 2% of scientists globally by Stanford University and Elsevier, his research specializes in cybersecurity, IoT security, data inference, and the safe integration of AI systems. Dr. Kang actively works at the intersection of AI and education, developing frameworks and practical guidance to help educators, families, and students responsibly navigate generative tools and prepare for an AI-driven workforce.