This book draws attention to the unexamined link between building teaching capacity in AI literacy teaching and developing students essential AI literacy skills. The book provides diverse perspectives on the state of AI literacy education research. It explores essential design principles of literacy curriculum and presents strategies to prepare teachers in developing capacities to design and teach AI-empowered curriculum in order to maximize the impact on student learning. This book is intended to be used by K-12 teachers, teacher educators, university faculty, preservice teachers and professional development providers.
Chapter1.Artificial Intelligence Literacy Curriculum Design Pedagogical
Framework for Next Generation Curriculu.
Chapter
2. Designing and Developing
Artificial Intelligence Literacy Curriculum in K-12 education.
Chapter
3.Embraced Diverse Game-based Design Principles in Artificial Intelligence
Literacy Education.
Chapter 4.Introduction of Artificial Intelligence
Professional Development Framewor.
Chapter5.Case Study of Teachers Learning
Trajectories in Artificial Intelligence Literacy.
Chapter6.AI Literacy
Knowledge Assessment .
Chapter7.AI literacy Performance Assessment.-
Chapter8.Conclusion.
Dr. Xiaoxue Du is the Senior Program Officer at Gates Foundation, with a track record of leading digital transformations and driving strategic initiatives across industries. With a deep commitment to advancing AI literacy, she has developed curricula and resources to help K-12 educators integrate AI concepts into classrooms in engaging and responsible ways. Her work spans AI-enriched learning experiences, game-based AI education, and ethical AI adoption in schools. Previously, she collaborated with the MIT Media Lab on research and teaching in AI literacy and human-AI interaction and worked with a top consulting firm, where she specialized in AI strategy, digital transformation, and operational excellence. Dr. Du actively writes and teaches about human-AI interaction, focusing on preparing the next generation of learners and educators to navigate an AI-driven world. She holds a doctorate from Teachers College, Columbia University, where she conducted mixed-methods research to study complex socio-technical systems.
Irina Lyublinskaya is Professor of Mathematics and Education at Teachers College at Columbia University, USA. She has over 40 years of teaching and research experience. She is a recipient of multiple awards including Radioshack/Tandy Prize for Teaching Excellence, NSTA Distinguished Science Teaching Award, Educations Unsung Heroes Award for innovation in the classroom, and NSTA Vernier Technology Award. She is an author/co-author of 23 books, 16 book chapters, and over 100peer-reviewed articles and proceedings.
