College and Beyond

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.

Webinar Recording & Slides: Tools for Building Big Data Career Pathways at Community Colleges

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:

Big Data Stackable Credentials Report

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.

Resources for Educators Using Data in the Classroom

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

Data Practitioner Performance Based Rubrics & Glossary

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.

Lessons from Hurricane Katrina

The Exploring Urban Mobility: Using Data to Solve Problems of the Future is creating data-intensive lessons for high school students to think about issues of urban mobility. Hear from one of the curriculum authors about the focus of one of the lessons: Hurricane Katrina.

The Two-Year College Data Science Summit

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.

Are There White Sharks Swimming Among Us?

The company Strava was in the news recently for its ability to display highly accurate maps using position data from personal fitness devices (e.g., Fitbit, Apple Watch, etc.). Not only are GPS fitness devices tracking a person’s mileage on land, many also track water activities, such as swimming, to within a few meters.

Where Science Meets Science Fiction

I’ve spent a lot of time recently thinking about how we can better teach science using data. I believe that 21st Century science is increasingly data-intensive, and that in order to teach science as it is actually being practiced, it should be possible to identify datasets and data stories relevant to most, if not all, topics in modern science to use in the classroom.

Identifying Curriculum Design Patterns as a Strategy for Focusing Geoscience Education Research: A Proof of Concept Based on Teaching and Learning With Geoscience Data

The geoscience education research (GER) enterprise faces a challenge in moving instructional resources and ideas from the well-populated domain of ‘‘practitioners’ wisdom’’ into the research-tested domains of St. John and McNeal’s pyramid of evidence (this volume). We suggest that the process could be accelerated by seeking out clusters of instructional materials that share a common design pattern and then researching the affordances, pitfalls, and mechanism for the cluster.

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