Data shapes modern life: from apps to news to decisions in health, business, and government, yet most students graduate without exposure to data science concepts. As Montana focuses on integrating data science skills into state standards, understanding what curriculum-agnostic data instruction looks like across all grade levels becomes essential. This session explores why data science is critical for all K-12 students, not just future data scientists, and demonstrates how it increases student engagement by connecting to real-world problems students care about. You'll see how data literacy develops from elementary through high school, discover what age-appropriate instruction looks like across grades and subjects, and explore ready-to-use activities that bring these concepts to life. Whether you teach math, science, social studies, or other subjects, you'll leave with grade-appropriate entry points and practical strategies for infusing data literacy into your classroom, preparing students to thrive as informed, critical thinkers in our data-driven world.
Join us for a walkthrough of Code Girls United’s AI Academy, a free AI resource built for classrooms and afterschool programs. Designed to be practical and accessible, our AI Academy includes explainer videos, structured lessons, and hands-on activities that help middle and high school students develop AI literacy, critical thinking, and responsible technology use
