K-16 Resources

Type Title
Curriculum 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.

Curriculum 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.

Presentation Building Statistical Thinking with Social Justice Investigations and Social Science Data

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

Curriculum Real World, Real Science Curriculum Modules

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

White Paper Ocean Tracks – A Journey Through the Ocean: A Modern Approach to Science Education

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.

Scientific Publication 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).

Video Exploring Data through Ocean Tracks

This video was featured in the 2017 STEM for All Video Showcase, held May 15-22, 2017. View the presentation.

Interface/Tool Resources for Educators Using Data in the Classroom

ODI has compiled a list of data activities, lessons, and resources for the classroom, sorted by grade level:

Curriculum Ocean Tracks: College Edition Modules

These modules were developed to engage undergraduate students with authentic scientific data through investigations that mirror those currently being conducted by scientists studying the broad-scale effects of climate and human activities on top predators in ocean ecosystems.

Presentation What are our motivations for teaching with data?

These presentation slides were presented at the Ocean Observatories Initiative (OOI) Teaching with Data Workshop on May 20-22, 2016.

Report Building Global Interest in Data Literacy: A Dialogue-Workshop Report

What does it mean to be data literate in the world of “big data”? What should we be teaching students to better prepare them to participate in today’s workforce and society? What steps need to be taken to develop critical data literacy skills in schools?

Book Visualizing Oceans of Data: Ocean Tracks – A Case Study

In 2013, the Oceans of Data Institute (ODI) released 

Video Big Data, Big Promise

Ruth Krumhansl, Founder of the Oceans of Data Institute (ODI), describes all the ways big data is changing lives today, the challenges that big data brings, and why ODI is working to transform education to include more data-relevant instruction.

Scientific Publication Inspiring Future Marine and Data Scientists Through the Lure of Ocean Tracks

The Oceans of Data Institute (ODI) at the Education Development Center (EDC), Inc.; Stanford University; and the Scripps Institution of Oceanography have been collaborating, with the support of three National Science Foundation grants over the past 5 years, to bring large scientific data sets int

Scientific Publication Thinking Big

"Thinking Big," featured in the Summer 2015 issue of NSTA's The Science Teacher, explores curricular strategies for transitioning students to working with large, complex data sets. 

Pages

Back to Top