AI Literacy in K-16 Classrooms [electronic resource] / by Davy Tsz Kit Ng, Jac Ka Lok Leung, Maggie Jiahong Su, Iris Heung Yue Yim, Maggie Shen Qiao, Samuel Kai Wah Chu.

Preface -- Chapter 1: Introduction -- Part One: AI literacy education on the whole -- Chapter 2: Why should students become AI literate? -- Chapter 3: Literature review -- Part Two: AI literacy education from K-12 to higher education -- Chapter 4: AI literacy education in kindergartens -- Chapter 5: AI literacy education in primary schools -- Chapter 6: AI literacy education in secondary schools -- Chapter 7: AI literacy education in non-Computer Science university -- Part Three: AI literacy in society -- Chapter 8: AI literacy for AI developers, workforce and adult learners -- Chapter 9: Professional Development for Teachers -- Chapter 10: Summary and Conclusions.

Artificial Intelligence is at the top of the agenda for education leaders, scientists, technologists and policy makers in educating the next generation across the globe. Beyond applying AI in daily life applications and educational tools, understanding how to learn and teach AI is increasingly important. Despite these emerging technology breakthroughs, AI learning is still new to educators especially to K-16 teachers. There is a lack of evidence-based studies that inform them about AI learning, including design principles for building a set of curriculum content, and pedagogical approaches as well as technological tools. Teaching AI concepts and techniques from programming languages and developmentally appropriate learning tools (e.g., robotics, serious games, software, intelligent agents) across different education levels emerged in recent years. The primary purpose of this book is to respond to the need to conceptualize the emerging term "AI literacy" and investigate how to teach and learn AI in K-16 education settings. This book examines different aspects of learning artefacts, pedagogies, content knowledge and assessment methods of AI literacy education, from theoretical discussions to practical recommendations for curriculum and instructional design. An exhaustive summary of current evidence with examples is illustrated in this book, as well as cutting-edge research that serves as an AI literacy model for different countries' contexts. Part I, "Conceptualizing AI literacy", provides a detailed discussion on the development of the concepts and frameworks on AI literacy education, discusses the differences and similarities between AI in education (AIED) and AI literacy education, and illustrates the reasons why K-16 students need to learn AI. These concepts are brought together in Part II, "K-16 AI literacy education" to further summarize the pedagogies, learning content, learning tools and assessment methods to inform K-16 educators how to design their AI instruction at each education level. After that, part III "AI literacy for instructional designers" explores how instructional designers (i.e., AI developers and teachers) prepare themselves to become ready to design developmentally appropriate tools, platforms, services and curricula to empower students with AI literacy skills.