Data shape what we see in the news, what opportunities available to us, and even how we understand ourselves and the world around us. Mathematics classrooms can help students make sense of that world—not by memorizing more procedures, but by investigating meaningful questions with real data. Mathematics becomes more meaningful when students investigate questions that matter. The Idaho Data Science Educator Fellowship invites mathematics teachers to explore how authentic data investigations can expand what it means to learn mathematics, creating classrooms that are more curious, collaborative, and connected to the world.
The Idaho Data Science Educator Fellowship is a year-long professional learning community for middle and high school mathematics teachers who want to explore new ways of teaching mathematics through authentic data.
Rather than focusing on isolated activities or one-time workshops, fellows experience data investigations as learners, collaborate with colleagues across Idaho, and design classroom experiences that connect mathematics to meaningful questions and real-world data.
Throughout the year, participants explore modern computational tools, investigate authentic datasets, and develop classroom-ready resources they can immediately adapt for their students.
The fellowship is built around doing data science. Teachers will engage in rich, inquiry-based data investigations that foreground variation, visualization, modeling, and computational reasoning. Throughout the fellowship, explore authentic datasets, make sense of patterns, use modern computational tools, and reflect on how these disciplinary practices can reshape mathematics teaching.
The fellowship combines immersive workshops, collaborative professional learning, and ongoing community throughout the school year.
2 day kickoff in October 2026
Investigate real datasets, explore data science tools, and experience the kinds of learning we'll later bring into our own classrooms. Along the way, we'll revisit familiar mathematical ideas—such as variation, modeling, and representation—through a data science lens while building connections with mathematics teachers from across Idaho.
3 half-day sessions during the school year
1-2 day culminating event in June 2027