In this workshop, co-facilitated by the NSTA Professional Learning team and Tuva, participants will consider how to extend community science experiences by integrating math practices into data exploration.

Place-based science gives students a sense of purpose as they collect data that contributes to knowledge about their own communities. The experience becomes even more meaningful when students use math and computational thinking to explore their data. During this hour-long session, participants will will review the data skills students are introduced to in the mathematics curriculum at the grade level(s) they teach, and identify ways to draw on them to build richer science learning and support ongoing growth in math. This session is part of a larger conference course, a four-part series of sessions around using local data as evidence in making sense of complex phenomena. Participants may attend a single session, or string all four together for deep, lasting learning.