Melissa K. Kjelvik|Elizabeth H. Schultheis
Getting Messy with Authentic Data: Exploring the Potential of Using Data from Scientific Research to Support Student Data Literacy
Michigan State University|Michigan State University
data becoming increasingly important science society thus data literacy vital asset students prepare careers outside science technology engineering mathematics go lead productive lives paper discuss strongest learning experiences surrounding data literacy may arise students given opportunities work authentic data scientific research first explore overlap fields quantitative reasoning data science data literacy specifically focusing data literacy results practicing quantitative reasoning data science context authentic data next identify describe features influence complexity authentic data sets selection curation scope size messiness implications dataliteracy instruction finally discuss areas future research aim identifying impact authentic data may student learning include defining desired learning outcomes surrounding data use classroom identification teaching best practices using data classroom develop students dataliteracy abilities