To support preschool children’s learning about data in an applied way that allows children to leverage their existing mathematical knowledge (i.e. counting, sorting, classifying, comparing) and apply it to answering authentic, developmentally appropriate research questions with data. To accomplish this ultimate goal, a design-based research approach was used to develop and test a classroom-based preschool intervention that includes hands-on, play-based investigations with a digital app that supports and scaffolds the investigation process for teachers and children.
Streams of Data has created fourth-grade lesson plans for a five-day sequence about rivers and flooding. The goal of these lessons is to support development of analytical thinking skills around authentic science data. These goals include:
By Kirsten Smayda on October 07, 2021
Massive amounts of data are generated every day on Earth and beyond - upwards of 2.5 quintillion bytes a day, as estimated by CloudTweaks. This offers exciting opportunities to work with data, in both academia and industry. Which setting is a better fit for you? It depends on how you want to work with data. Although data propels work forward in both academic and non-academic settings, academic and industry folks have different needs of data, and therefore different relationships to data.
This article focuses on discussion and preliminary findings from classroom testing of the prototype learning module: Investigating Income Inequality in the U.S. In this module, students examine patterns of income inequality using person-level microdata from the American Community Survey (ACS) and the U.S. decennial census.
Zoom In! is a free, Web-based platform that helps high school students build their data literacy through “deep dives” into real-world biology and Earth science problems using authentic data sets. Each Zoom In blended learning module is a multi-day, standards-aligned science inquiry. Students use Zoom In digital supports as they read and analyze data to answer a scientific question, debate their interpretations, take notes and write a culminating argument supported by evidence.
Data literacy, or students’ abilities to understand, interpret, and think critically about data, is an increasing need in K–16 science education. Ocean Tracks College Edition (OT-CE) sought to address this need by creating a set of learning modules that engage students in using large-scale, professionally collected animal migration and physical oceanographic data to answer scientifically relevant questions and think critically about how researchers collect and interpret data.
By rKochevar on February 24, 2021
If the past month has done nothing else, it has shown us what a powerful force data can be in our daily lives. As the number of American lives lost from COVID passes half a million, state and county governments monitor the falling case rate data, which will determine when they can begin to re-open schools and businesses.
In Texas and across the Midwest, officials are having to come to terms with the fact that historical averages in weather patterns are not useful predictors of the conditions that occur during extreme weather events brought about by climate change.
This report describes the efforts of four community colleges, Bunker Hill CC (MA), Johnson County CC (KS), Normandale CC (MN) and Sinclair CC (OH), who partnered with EDC on Creating Pathways to Big Data Careers, a project funded by the National Science Foundation’s Advanced Technological Education Program (DUE-1501927) to design and implement programs leading to middle skills data careers.
EDC's Oceans of Data Institute (ODI) has compiled a list of data activities, lessons, and resources for the classroom, sorted by grade level:
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