In this session, co-facilitated by the NSTA professional learning team and Tuva, participants will have time to find data from local phenomena that can be used in their own classrooms, and will craft data-based lessons within Tuva to help students make sense of their phenomena.

Tuva provides powerful data visualization tools that make data more accessible and allow the teacher to intentionally scaffold data interactions based on their students’ needs. Participants will have time to find and prepare data from local phenomena to share with their students. This session is a workshop that builds on the previous sessions in the Finding Phenomena Nearby: How to Use Local Data to Drive Student Learning pathway.