Are you interested in helping students make sense of the phenomena in their communities? Are you looking for ways to incorporate more data in your science classroom? When sensemaking is focused on local phenomena, there are more opportunities to center students’ community and incorporate personal interests. This session, co-facilitated by the NSTA Professional Learning Team and Tuva, will highlight the value of using data from local phenomena in science learning.

TAKEAWAYS:
Data from local phenomena can be leveraged to create engaging learning for students. Participants will learn how to find and select local data that is instructionally productive, based on their goals for student learning and the data available.

SPEAKERS:
Jocelyn Foran, Brianna Reilly Oliveira

The process of science is driven by questions. While it’s easy to ask a general question, crafting an investigable question requires deeper thinking and intentionality. Doing so within the constraints of an existing dataset creates an additional challenge. This session, co-facilitated by the NSTA professional learning team and Tuva, will highlight strategies for helping students clarify what data they have to work with, determine the types of questions that can and cannot be answered with a given dataset, and frame six different types of questions about data.

TAKEAWAYS:
The types of questions you can ask depend on the data you have. Participants will learn how to guide students in identifying the structure and limits of the local datasets they encounter and in framing investigable questions that unlock the potential of data.

SPEAKERS:
Jocelyn Foran, Brianna Reilly Oliveira

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. 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.

TAKEAWAYS:
When science teachers tap into what students are learning in math, they build richer science learning and support ongoing growth in math. Participants 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 t

SPEAKERS:
Jocelyn Foran, Brianna Reilly Oliveira

Are you interested in using data from local phenomena in lessons with your students? 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. 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.

TAKEAWAYS:
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.

SPEAKERS:
Jocelyn Foran, Brianna Reilly Oliveira