Dr. Aaron Reedy is a working scientist, entrepreneur, and one of those science teachers you dreamed of having. In pursuit of great education for his students, he has kayaked the Mississippi River to study pollution and immersed kids in studies of climate change while censusing wild turtle populations. Together with his high school students, Reedy published professional-level research conducted in their public-school classroom on Chicago’s south side. Reedy is currently a US National Science Foundation Postdoctoral Research Fellow in Biology at Auburn University, using lizards on small islands to study the evolution of sex differences in aging. He is a public advocate for collaborations between scientists and teachers and has spoken on the subject at events including TED, TEDx, TEDActive. Aaron recently founded DataClassroom to produce digital tools that help students around the world in grades 6-12 build quantitative skills and think like scientists.
Best practices for teaching science students to collect data in the age of big data
This session will focus on the principals of Tidy Data which are quickly becoming the industry standard for science and industry. In this active workshop participants will work with messy, real-world datasets and learn shortcuts that their students can take to tidy them up for easy visualization and deep insights.
A picture is worth a thousand equations. Teaching kids to make and interpret data visualizations
A key first step in data analysis, whether in middle school or in grad school, is data visualization. Seeing data allows students to intuit the math involved with data analysis and builds the platform for learning statistics.