Several recent documents have focused on looking at emerging trends and identifying challenges in the teaching and learning of statistics at all levels. The session will engage participants in considering two of these documents: the American Statistical Association’s Pre-K–12 Guidelines for Assessment and Instruction in Statistics Education II: A Framework for Statistics and Data Science Education report (GAISE II) and the paper Reviews on Important Themes in Statistics Education to be published by Springer as a part of a larger series on mathematics education. GAISE I provided a framework of recommendations for developing students’ foundational skills in statistical reasoning in three levels across the school years, described as levels A, B, and C. GAISE II, updated using current statistics education research, builds on the ideas in GAISE I (2007) but incorporates the new skills needed for making sense of data today’s world. GAISE II connects to the ideas laid out in the GAISE College Report (2016), which makes recommendations on what to teach in introductory courses and on how to teach those courses. The report includes an updated list of learning objectives along with suggested topics that might be omitted or de-emphasized in an introductory course.