A Pedagogical Framework for K-12 AI Literacy

Development, Validation, and Applications in Teacher Education
Erscheinungsjahr 2026
ISBN: 978-3-032-23569-5
Verlag: Springer Nature Switzerland AG

Buch, Englisch, 147 Seiten, Format (B × H): 155 mm x 235 mm

Reihe: Springer Texts in Education

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.

Zielgruppe

Professional/practitioner

Autoren/Hrsg.

Lyublinskaya, Irina

Du, Xiaoxue

Fachgebiete

• Sozialwissenschaften Pädagogik Lehrerausbildung, Unterricht & Didaktik Lehrerausbildung
• Sozialwissenschaften Pädagogik Pädagogik Bildungssystem Prüfungen und Beurteilungen
• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz
• Sozialwissenschaften Pädagogik Lehrerausbildung, Unterricht & Didaktik Methoden des Lehrens und Lernens

Inhaltsverzeichnis

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.

Über Autor(innen)

Dr. Irina Lyublinskaya is a Professor of Mathematics and Education at Teachers College, Columbia University, New York. She holds Ph.D. in Theoretical and Mathematical Physics from the Leningrad State University,Russia.Shetaughthighschoolanduniversity mathematics and science for 40 years. She is a recipient of various awards, including Radioshack/Tandy Prize for Teaching Excellence in Mathematics, Science, and Computer Science, NSTA Distinguished Science Teaching Award and citation, Education’s Unsung Heroes Award for innovation in the classroom, and NSTA Vernier Technology Award. Her research interests are in the areas of AI literacy, STEM education, teacher education, curriculum development, and international comparative education. She authored/co-authored 23 books, 16 book chapters, andover 100 peer-reviewed papers and proceedings in these fields.  

Dr. Xiaoxue Du is the Senior Program Officer for AI Innovation & Access at the Bill & Melinda Gates Foundation. Her background includes work with a leading consulting firm on AI-enabled product strategy and digital transformation, as well as research and teaching experience at the MIT MediaLabfocusedonAIliteracy and human–AI interaction. Dr. Du’s academic work centers on helping learners and educators understand and responsibly engage with emerging AI systems. She earned her doctorate from Teachers College, Columbia University, where she used mixed-methods approaches to study complex sociotechnical systems.