Educators

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?

This poster provides an overview of the Strengthening Data Literacy across the Curriculum (SDLC) project, which is developing and studying curriculum modules for non-AP high school statistics classes to promote interest and skills in statistical thinking and data science among diverse high school populations. This early-stage design and development project aims to engage students with data investigations that focus on issues of social justice, using large-scale socioeconomic data from the U.S. Census Bureau and student-friendly online data visualization tools.

On July 8, we presented our Tools for Building Big Data Career Pathways at Community Colleges in an AMATYC webinar. Our presenters shared how they used the tools developed by our NSF-funded project Creating Pathways for Big Data Careers at their institutions to create data courses and programs.

Presenters:

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.

Real World, Real Science is a NASA-funded collaboration with the Gulf of Maine Research Institute (GMRI) that builds on the success of GMRI’S existing LabVenture! Program to create new learning experiences focused on exploring the effects of climate change in and around the Gulf of Maine.

EDC's Oceans of Data Institute (ODI) has compiled a list of data activities, lessons, and resources for the classroom, sorted by grade level:

This rubrics and glossary can be used to assess competence and proficiency in the skills identified in the Profile of the Data Practioner. The rubrics provide examples of what the work responsibilities of a Data Practitioner (middle-skilled data worker) “look like” when performed at four different levels of proficiency.

This final report, from the Two-Year College Data Science Summit, summarizing the summit, current state of data science/analytics programs at two-year colleges, recommendations, recommended program outcomes, and challenges. Learn more about the summit.

Research in the sciences is currently undergoing a massive transformation, as technological advancements shift big data into the forefront of investigative tools, and early education is looking for solutions to keep up. The Ocean Tracks program offers a structured learning tool that supports both students and teachers in tackling big data in the classroom.