Science literacy is essential to be informed and engaged citizens in the 21st century. Data are what we use to do science. Thus, reading and making sense of real-world data are fundamental skills to being scientifically literate and a fun way to engage learners with science. However, how do we incorporate data into K-8 science without feeling overburdened with yet another thing to teach? By integrating it into what we are already doing!
Join us to explore the connections between data, science, and literacy. We will experience research-based strategies and freely available resources for integrating phenomenon-based and local data into our science instruction to promote science literacy. We will participate in activities ourselves and reflect on approaches for how to bring these into our classrooms. The goal is to increase our data toolkit of strategies and resources to increase science literacy and relevance for students. Participants will leave more empowered to integrate data into their science content in purposeful ways to better helps students do and communicate science.
Working with and learning from data fosters critical thinking skills, lifelong interests in science, and facilitates learners’ literacy skills. Let’s set our students up for success now and in the future!
TAKEAWAYS:
Participants will identify how data literacy is a critical aspect of science literacy in the 21st century and how to leverage existing strategies to authentically integrate data into K-8 science instruction to teach their science content and increase literacy simultaneously.
SPEAKERS:
Kristin Hunter-Thomson (Dataspire Education & Evaluation, Rutgers University: Princeton, NJ)