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.

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.