Principal Investigator: James (Jim) Hammerman
Funders: National Science Foundation

The project builds on the increasing availability of a variety of large data sets, and on students' inherent interest in data sets related to "hot" topics such as the environment and climate change, the human genome, economic justice issues, space exploration, and medical research. More »

Principal Investigator: James (Jim) Hammerman

Funders: National Science Foundation

TERC researchers are collaborating with STEM educators, curriculum/software developers, scientists, social scientists, and statisticians to explore:

The project builds on the increasing availability of a variety of large data sets, and on students’ inherent interest in data sets related to “hot” topics such as the environment and climate change, the human genome, economic justice issues, space exploration, and medical research. It describes conceptual obstacles and opportunities in exploring statistical issues in the context of large data sets and will develop a set of design recommendations for curriculum and software tools to facilitate such explorations.

This project will produce two reports—one describing the current state of the field with regard to the educational uses and challenges of teaching statistics content through large data sets and one proposing recommendations for software tools and curriculum materials to support secondary students’ learning about large data sets. Both reports and other related papers will be presented at academic conferences and published online and in peer-reviewed journals.

PI Hammerman has written and presented three papers at academic conferences:

These can be downloaded from the Research Library.