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by Roel Famat Ceballos (Editor)
In an era defined by technological advancement, the teaching and learning of statistics is undergoing profound transformation. The rise of artificial intelligence (AI) has reshaped how statistical thinking is taught and practiced across disciplines. As machine learning models automate complex analyses and generate insights at unprecedented speed, educators face new challenges ensuring conceptual understanding amid automation, creating ethical data literacy, and preparing students to critically engage with AI-driven tools. Curriculum reforms and international perspectives illuminate how educators worldwide are redefining statistical education for the 21st century. Statistics Pedagogy in the Age of AI: Challenges, Strategies, and Global Case Studies explores how AI is reshaping the teaching and learning of statistics. This book discusses the global and inclusive approach to reforming statistics education. Covering topics such as AI, global education, and pedagogy, this book is an excellent resource for educators, administrators, researchers, academicians, policymakers, instructional designers, and more.
