Data Skills

Streams of Data: Lesson Plans and Resources

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:

Differences in How Data is Approached Across Industry & Academia

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.

Data Investigations to Further Social Justice Inside and Outside of STEM

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.

Profile of an Ideal Pathway Director

The colleges affiliated with the Coast Community College District (CCCD) in Southern California collaborate on delivering career pathways in several industry sectors. Their successful operation largely depends upon the individuals serving in the role of Pathway Director. Pathway Directors build partnerships with employers, provide outreach to schools and communities, and coordinate career related services to students. The profile of a Pathway Director describes these responsibilities in greater detail and identifies the skills, knowledge and behaviors needed to be effective in the job.

Zoom In! Science

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.

Measuring Data Skills in Undergraduate Student Work: Development of a Scoring Rubric

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.

Perseverance

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.

Guide for Data Worker Internships

To speed and ease the transition from education to employment in data fields, many community colleges are establishing data internships. Internships provide students with immediate opportunities to apply their data skills and knowledge to the tasks and problems challenging data workers in today’s workplaces. Internships benefit both students and employers. They provide students with opportunities to work on data teams, to learn to solve real-world data problems found in local industries, and to develop new data skills working in industry sectors that interest them.

Investigating Immigration to the U.S.: Module Overview and Sample Lessons

The Investigating Immigration to the U.S. module focuses on describing, comparing, and making sense of categorical variables. Students investigate questions such as: Are there more immigrants in the U.S. today than in previous years? Where have immigrants to the U.S. come from, now and in the past? Are immigrants as likely as the U.S. born to be participating in the labor force, after adjusting for education?

Investigating Income Inequality in the U.S.: Module Overview and Sample Lessons

The Investigating Income Inequality in the U.S. module focuses on describing, comparing, and making sense of quantitative variables. Students deepen their understanding of this content by investigating questions such as: How have incomes for higher- and lower-income individuals in the U.S. changed over time? How much income inequality exists between males and females in the U.S.? Does education explain the wage gap between males and females?

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