Broaden Science Participation: Unpack “Analyze & Interpret” to Teach Data As an Equalizer
We live in a data-driven world, and our students will be working in a data-driven workforce. Therefore, it is critical that our Pre-K-12 students learn foundational data literacy skills. However, currently these skills are too often only taught in upper-level classes. All students need these skills and all students, down to our little Pre-Kers, can work with and make sense of science data. Let’s make sure data is an equalizer, rather than another divider in our educational system and society!
Join us as we explore what perception and learning science tell us about how our brains process data. We will experience research-based strategies and freely available resources to build science knowledge and self-efficacy through data. Finally, we will explore ways to adapt our existing curriculum activities and data visualizations to help our students more equitably access science. Through hands-on activities and group discussions, participants will leave more empowered to leverage data and data visualizations into their science content in purposeful ways for all learners.
Working with and learning science from data fosters critical thinking skills, lifelong interests in science, and facilitates learners’ overall 21st century skills. Let’s set all of our students up for success!
Takeaways: Participants will identify how data literacy is a critical aspect of science literacy in the 21st century for all students and ways to adjust existing curriculum to leverage data as entry points into science inquiry, sensemaking, and knowledge for all learners to see themselves in STEM.
Kristin Hunter-Thomson (Dataspire Education & Evaluation, Rutgers University: Princeton, NJ)
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