Data increasingly mediates how we understand the world. As such, there is growing interest in designing initiatives to help young people learn about data--not only the techno-mathematical skills necessary to work with data, but also the dispositions needed to participate in data-centric ways of knowing and doing. In this article, we argue that as…

There is much agreement among chemical education researchers that expertise in chemistry depends in part on the ability to coordinate understanding of phenomena on three levels: macroscopic (observable), sub-microscopic (atoms, molecules, and ions) and symbolic (chemical equations, graphs, etc.). We hypothesize this "level-coordination…

For students to be successful in STEM, they need "statistical literacy," the ability to interpret, evaluate, and communicate statistical information (Gal 2002). The science and engineering practices dimension of the "Next Generation Science Standards" ("NGSS") highlights these skills, emphasizing the importance of…

As the name indicates, the College Readiness Data Catalog Tool focuses on identifying data that can indicate a student's college readiness. While college readiness indicators may also signal career readiness, many states, districts, and other entities, including the U.S. Virgin Islands (USVI), do not systematically collect career readiness…

Ohio's Butler Tech has been able to improve its student performance results from near the worst in Ohio to among the best in six years. At Butler Tech, performance measures are collected and analyzed on a regular basis at all levels of the institution to serve as constant feedback on how well the school is educating its students. In this article,…

States have made tremendous progress in developing longitudinal data systems that can track student progress and answer critical policy questions. However, more work is needed, particularly on certain elements. Data on course-taking and grades (element 6), college readiness test scores (element 7), and other feedback from post-secondary…

Many school districts are putting data to good use, although much of the data used in administrative decision making ultimately derives from standardized test scores, which raises a host of other related concerns. The author's purpose in this article is not to critique the types or sources of data that administrators use, but to suggest that there…

Since the inception of the School-to-Work Project in 1998, networks members have increasingly viewed credible evidence as critical to both their approaches to program improvement and their strategies for winning and sustaining support and resources. This issue brief: (1) Describes the activities Network members have pursued together during…

The Second International Conference on Educational Data Mining (EDM2009) was held at the University of Cordoba, Spain, on July 1-3, 2009. EDM brings together researchers from computer science, education, psychology, psychometrics, and statistics to analyze large data sets to answer educational research questions. The increase in instrumented…

Achievement gaps have real consequences for students, particularly those facing the challenge of passing the California High School Exit Exam (CAHSEE), now a requirement in order to receive a high school diploma in California. The combined 2005 CAHSEE passing rates reveal significant discrepancies between White and Asian students and their African…