We are naturally curious, prone to ask why? How? What? Unfortunately, somewhere along the way students lose the trust in their voices to ask questions of and from data. But data are what we use to do science and it permeates all aspects of society today. What should we do? Stop teaching the vocabulary of science and data first, and instead leverage classroom-ready strategies to empower students to lead with their innate curiosity to practice critical 21st century data literacy skills and master the science content.
Join us to explore connections between our science content, inquiry-based activities, and data skills. 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 and student empowerment. We will participate in activities ourselves and reflect on approaches for how to bring these into our classrooms. Participants will leave more empowered to integrate data into their science content in purposeful ways to better help students do and communicate science.
Working with and learning science from data fosters critical thinking skills, lifelong interests in science, and facilitates learners’ overall self-identity as a scientist. Let’s set all of our students up for success!
Participants will identify how data literacy is a critical aspect of science literacy in the 21st century, how students can do a lot more with data than we often think or presume from their science vocabulary alone, and how to leverage existing strategies to authentically integrate data into 6-12 science instruction to teach their science content and increase literacy simultaneously.
Kristin Hunter-Thomson (Dataspire Education & Evaluation, Rutgers University: Princeton, NJ)