Background: New technology and increased collaboration have revolutionized how scientists work with data. This creates a need to identify new aspects of working with scientific data that are important for K-12 students to learn. Purpose: To address this need, we conducted a study with practicing scientists and K-12 science teachers. The purpose of…

This article discusses how each of the papers in this special issue explored some combination of subject, audience, and data scientist perspectives with an eye toward helping students situate their relationship to data. Specifically, within the data scientist perspective, the papers examined a variety of ways in which students can relate to data…

In this paper, I describe preliminary work on a new research project in learning analytics at Arizona State University. In conjunction with an innovative remedial mathematics course using Khan Academy and student coaches, this study seeks to measure the effectiveness of visualized data in assisting student coaches as they help remedial math…

As aspiring professionals, pre-service teachers must become good consumers of educational research as well as competent researchers who can use tools of inquiry to improve their practice and conduct their own educational research. Many, however, resist learning research skills or find difficulties in doing so. This article presents ways in which…

The ability to collect, organize graphically, understand, interpret, and use data to make decisions is becoming more central to the role of early childhood practitioners. One consideration in practitioner use of data is the acceptability of the method of data display. The purpose of this study was to explore Head Start teachers' preference for and…

Reintroduces and updates the geographic profile as a visualization technique for representing and analyzing the structure of geographical information. A computer software-generated profile focuses on specific information (persons per square mile in selected cities) and represents that information spatially on a graph. (MJP)